Football / gen6
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!new Club('club11')
!club11.name := 'River Dolphins'
!club11.homeGround := 'Dolphin Cove'
!club11.chairman := 'Jacob Waters'
!new Club('club12')
!club12.name := 'Hill Panthers'
!club12.homeGround := 'Panther Hill'
!club12.chairman := 'Mia Hill'
!new Team('team11')
!team11.name := 'Dolphin Divers'
!insert (club11, team11) into ClubTeam
!new Team('team12')
!team12.name := 'Panther Prowlers'
!insert (club12, team12) into ClubTeam
!new Competition('autumnLeague')
!autumnLeague.name := 'Autumn League'
!autumnLeague.type := 'League'
!new Match('match6')
!match6.date := '2024-09-20'
!match6.homeAway := true
!insert (autumnLeague, match6) into CompetitionMatch
!insert (team11, match6) into LocalMatch
!insert (team12, match6) into VisitorMatch
!new MatchReport('report6')
!report6.duration := 90
!report6.scoreVisitor := 3
!report6.scoreLocal := 2
!insert (match6, report6) into MatchMatchReport
!new Player('player11')
!player11.name := 'James River'
!player11.age := 24
!player11.bestFoot := #LEFT
!player11.phoneNumber := '9123456780'
!insert (team11, player11) into TeamPlayer
!new Player('player12')
!player12.name := 'Olivia Panther'
!player12.age := 25
!player12.bestFoot := #RIGHT
!player12.phoneNumber := '8234567891'
!insert (team12, player12) into TeamPlayer
!new Position('position11')
!position11.positionName := #DEFENDER
!insert (player11, position11) into PlayerPositions
!new Position('position12')
!position12.positionName := #FORWARD
!insert (player12, position12) into PlayerPositions
!new MatchPlayer('matchPlayer11')
!matchPlayer11.booked := true
!matchPlayer11.goals := 1
!matchPlayer11.rating := 6
!insert (player11, matchPlayer11) into PlayerMatch
!insert (match6, matchPlayer11) into MatchMatchPlayer
!new MatchPlayer('matchPlayer12')
!matchPlayer12.booked := false
!matchPlayer12.goals := 2
!matchPlayer12.rating := 9
!insert (player12, matchPlayer12) into PlayerMatch
!insert (match6, matchPlayer12) into MatchMatchPlayer
!new MatchPlayerPosition('matchPlayerPosition11')
!matchPlayerPosition11.positionName := #DEFENDER
!matchPlayerPosition11.number := 5
!insert (matchPlayer11, matchPlayerPosition11) into MatchPlayerMatchPlayerPosition
!new MatchPlayerPosition('matchPlayerPosition12')
!matchPlayerPosition12.positionName := #FORWARD
!matchPlayerPosition12.number := 9
!insert (matchPlayer12, matchPlayerPosition12) into MatchPlayerMatchPlayerPosition
!new MatchEvent('event19')
!event19.eventType := #GOAL
!event19.time := 33
!insert (match6, event19) into MatchMatchEvent
!new MatchEvent('event20')
!event20.eventType := #GOAL
!event20.time := 47
!insert (match6, event20) into MatchMatchEvent
!new MatchEvent('event21')
!event21.eventType := #GOAL
!event21.time := 60
!insert (match6, event21) into MatchMatchEvent
!new MatchEvent('event22')
!event22.eventType := #GOAL
!event22.time := 75
!insert (match6, event22) into MatchMatchEvent
!new MatchEvent('event23')
!event23.eventType := #GOAL
!event23.time := 82
!insert (match6, event23) into MatchMatchEvent
!new TrainingSession('training11')
!training11.date := '2024-08-10'
!training11.location := 'Dolphin Pond'
!training11.purpose := 'Rescue Drills'
!insert (team11, training11) into TeamTraining
!new TrainingSession('training12')
!training12.date := '2024-08-15'
!training12.location := 'Panther Peak'
!training12.purpose := 'Agility Training'
!insert (team12, training12) into TeamTraining
!new TrainingNotes('trainingNote11')
!trainingNote11.note := 'Practice defensive formation'
!trainingNote11.date := '2024-08-10'
!insert (training11, trainingNote11) into TrainingTrainingNotes
!new TrainingNotes('trainingNote12')
!trainingNote12.note := 'Sprint and flexibility exercises'
!trainingNote12.date := '2024-08-15'
!insert (training12, trainingNote12) into TrainingTrainingNotes
!new TrainingObjective('objective11')
!objective11.areaToImprove := 'Tackling'
!objective11.startDate := '2024-06-01'
!objective11.endDate := '2024-09-01'
!objective11.success := false
!insert (objective11, player11) into TrainingObjectivePlayer
!new TrainingObjective('objective12')
!objective12.areaToImprove := 'Finishing'
!objective12.startDate := '2024-06-05'
!objective12.endDate := '2024-09-05'
!objective12.success := true
!insert (objective12, player12) into TrainingObjectivePlayer model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) Given a conceptual model expressed in the UML-based Specification Environment (USE), your task is to generate valid and realistic instances that conform to the provided model. <requirements> - Instances must be syntactically correct according to the USE syntax_reference. - Avoid unnecessary comments and output the instance in plain text (i.e., not markdown). - Make sure instances fulfill all the model's constraints, and that multiplicities, relationships, and attributes are valid and realistic. - Provide multiple instances with diverse data values and structure. </requirements> <syntax_reference> Here there is a snippet showing how to create objects and set values in the specific .soil language required: -- This is a comment example -- Primitive data types: -- Integer i.e. 1, 2, 3, etc. -- Real i.e. 1.0, 21.89, 322.05556, etc. -- Boolean i.e. true or false -- String i.e. 'Hello World' -- You can create instances with the following syntax: !new <instance type>('<instance name>') -- Example: !new Client('client1') !new Store('store4') -- You can assign values to attributes for a created instance with the following syntax: !<instance name>.<attribute name> := <value> -- Example for different data types: !client1.clientId := 1 -- For Integer !client1.balance := 1123.45 -- For Real !client1.name := 'John' -- For Strings !store4.available := true -- For Boolean -- You can create associations between instances with the following syntax: !insert (<instance name1>, <instance name2>) into <association name> -- Example: !insert (client1, store4) into ClientStore -- Custom data types usage: -- dataType Location -- operations -- Location(x : Real, y : Real) -- some other operations -- end -- You can create custom data types by calling the constructor directly; in this case, the constructor of Location requires two arguments: x and y of type Real. So it can be used as follows: !store4.location := Location(14.0, 289.0) -- Enums usage: -- enum Type { Clothes, Shoes } -- Can be used as follows: !store4.type := #Clothes </syntax_reference> Please generate another instance that is structurally and semantically different from the previous ones. <role>
You are an expert software and system modeler. You are able to assess the semantic quality of object models that have been created to conform to a domain model. The models are defined in USE (UML-based Specification Environment) and OCL (Object Constraint Language).
Your primary capability is "Semantic Reality Checking". You do not just check for syntactic correctness; you check for real-world plausibility and logical consistency within a given domain.
</role>
<context>
The user will provide two types of content:
1. **Domain Model (.use)**: A class diagram definition including classes, attributes, enums, relationships, multiplicities and roles.
2. **Object Model (.soil)**: An object model. This object model can be seen as a script composed of instructions for the creation of objects, relationships and setting attribute values (snapshot).
Your goal is to act as a judge to determine if the object model represents a **REALISTIC** scenario based on the domain model and common sense real-world logic.
</context>
<definitions>
- **Realistic**: The object model is syntactically correct AND semantically plausible (e.g., A 'Person' has an age between 0 and 120; a 'Car' has a positive price).
- **Unrealistic**: The object model contains contradictions, impossible physical values, or nonsensical relationships (e.g., A 'Person' is their own father; a 'Product' has a negative weight).
- **Doubtful**: You cannot determine whether the object model is realistic or not.
</definitions>
<instructions>
Follow this thinking process strictly before generating the final output:
1. **Analyze the Domain (.use)**: Understand the classes and what they represent in the real world.
2. **Analyze the Instances (.soil)**: Map the created objects to their classes. Look at the specific values assigned to attributes and the relationships created between objects.
3. **Evaluate Semantics**:
- Apply "Common Sense Knowledge" to the attribute values.
- Check cardinality and relationship logic beyond simple OCL constraints.
- Identify any outliers or logical fallacies.
4. **Determine Verdict**: Select one of the defined labels (Realistic/Unrealistic/Doubtful).
</instructions>
<constraints>
- **Tone**: Objective, Analytical, Technical.
- **Verbosity**: Low. Be direct.
- **Reasoning**: The "Why" section must be concise and specific, citing variable names, objects, or relationships when possible.
- Do not output the internal thinking process. Only output the final formatted result.
</constraints>
<output_format>
Structure your response exactly as follows:
**Response**: [Realistic | Unrealistic | Doubtful]
**Why**: [Concise explanation of your reasoning. If Unrealistic, specify the exact objects, values or relationships that break realism.]
</output_format>
<examples>
Example 1:
Input:
<domain_model>
class Person
attributes
age: Integer
end
class Pet
attributes
name: String
end
association Ownership between
Person [1] role owner
Pet [*] role pets
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 250
!new Pet('pet1')
!pet1.name := 'Luna'
… 1.000 more pets creation …
!pet1000.name := 'Max'
!insert (p1, pet1) into Ownership
…1.000 more pets associated with p1 …
!insert (p1, pet1000) into Ownership
</object_model>
Output:
**Response**: Unrealistic
**Why**: The object 'p1' of class 'Person' has an age of 250, which exceeds the biologically plausible lifespan of a human. Although it is not plausible that 1 same person owns 1.000 pets.
Example 2:
Input:
<domain_model>
class Car
attributes
brand: String
end
class Person
attributes
name: String
end
association Ownership between
Person [1] role owner
Car [*] role cars
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 19
!new Car('c1')
!c1.brand := 'Toyota'
!insert (p1, c1) into Ownership
</object_model>
Output:
**Response**: Realistic
**Why**: The object 'c1' has a valid, recognized real-world car brand assigned, and its plausible that a teenager has only one car.
Example 3:
Input:
<domain_model>
class Component
attributes
setting_val: Integer
config_mode: String
end
</domain_model>
<object_model>
!new Component('c1')
!c1.setting_val := 8080
!c1.config_mode := 'Legacy'
</object_model>
Output:
**Response**: Doubtful
**Why**: The class 'Component' and attribute 'setting_val' are generic and lack specific real-world semantic context. Without knowing what specific physical or software system this represents, it is impossible to determine if '8080' is a realistic value or an outlier.
</examples> <domain_model>
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal)
</domain_model>
<object_model>
!new Club('club11')
!club11.name := 'River Dolphins'
!club11.homeGround := 'Dolphin Cove'
!club11.chairman := 'Jacob Waters'
!new Club('club12')
!club12.name := 'Hill Panthers'
!club12.homeGround := 'Panther Hill'
!club12.chairman := 'Mia Hill'
!new Team('team11')
!team11.name := 'Dolphin Divers'
!insert (club11, team11) into ClubTeam
!new Team('team12')
!team12.name := 'Panther Prowlers'
!insert (club12, team12) into ClubTeam
!new Competition('autumnLeague')
!autumnLeague.name := 'Autumn League'
!autumnLeague.type := 'League'
!new Match('match6')
!match6.date := '2024-09-20'
!match6.homeAway := true
!insert (autumnLeague, match6) into CompetitionMatch
!insert (team11, match6) into LocalMatch
!insert (team12, match6) into VisitorMatch
!new MatchReport('report6')
!report6.duration := 90
!report6.scoreVisitor := 3
!report6.scoreLocal := 2
!insert (match6, report6) into MatchMatchReport
!new Player('player11')
!player11.name := 'James River'
!player11.age := 24
!player11.bestFoot := #LEFT
!player11.phoneNumber := '9123456780'
!insert (team11, player11) into TeamPlayer
!new Player('player12')
!player12.name := 'Olivia Panther'
!player12.age := 25
!player12.bestFoot := #RIGHT
!player12.phoneNumber := '8234567891'
!insert (team12, player12) into TeamPlayer
!new Position('position11')
!position11.positionName := #DEFENDER
!insert (player11, position11) into PlayerPositions
!new Position('position12')
!position12.positionName := #FORWARD
!insert (player12, position12) into PlayerPositions
!new MatchPlayer('matchPlayer11')
!matchPlayer11.booked := true
!matchPlayer11.goals := 1
!matchPlayer11.rating := 6
!insert (player11, matchPlayer11) into PlayerMatch
!insert (match6, matchPlayer11) into MatchMatchPlayer
!new MatchPlayer('matchPlayer12')
!matchPlayer12.booked := false
!matchPlayer12.goals := 2
!matchPlayer12.rating := 9
!insert (player12, matchPlayer12) into PlayerMatch
!insert (match6, matchPlayer12) into MatchMatchPlayer
!new MatchPlayerPosition('matchPlayerPosition11')
!matchPlayerPosition11.positionName := #DEFENDER
!matchPlayerPosition11.number := 5
!insert (matchPlayer11, matchPlayerPosition11) into MatchPlayerMatchPlayerPosition
!new MatchPlayerPosition('matchPlayerPosition12')
!matchPlayerPosition12.positionName := #FORWARD
!matchPlayerPosition12.number := 9
!insert (matchPlayer12, matchPlayerPosition12) into MatchPlayerMatchPlayerPosition
!new MatchEvent('event19')
!event19.eventType := #GOAL
!event19.time := 33
!insert (match6, event19) into MatchMatchEvent
!new MatchEvent('event20')
!event20.eventType := #GOAL
!event20.time := 47
!insert (match6, event20) into MatchMatchEvent
!new MatchEvent('event21')
!event21.eventType := #GOAL
!event21.time := 60
!insert (match6, event21) into MatchMatchEvent
!new MatchEvent('event22')
!event22.eventType := #GOAL
!event22.time := 75
!insert (match6, event22) into MatchMatchEvent
!new MatchEvent('event23')
!event23.eventType := #GOAL
!event23.time := 82
!insert (match6, event23) into MatchMatchEvent
!new TrainingSession('training11')
!training11.date := '2024-08-10'
!training11.location := 'Dolphin Pond'
!training11.purpose := 'Rescue Drills'
!insert (team11, training11) into TeamTraining
!new TrainingSession('training12')
!training12.date := '2024-08-15'
!training12.location := 'Panther Peak'
!training12.purpose := 'Agility Training'
!insert (team12, training12) into TeamTraining
!new TrainingNotes('trainingNote11')
!trainingNote11.note := 'Practice defensive formation'
!trainingNote11.date := '2024-08-10'
!insert (training11, trainingNote11) into TrainingTrainingNotes
!new TrainingNotes('trainingNote12')
!trainingNote12.note := 'Sprint and flexibility exercises'
!trainingNote12.date := '2024-08-15'
!insert (training12, trainingNote12) into TrainingTrainingNotes
!new TrainingObjective('objective11')
!objective11.areaToImprove := 'Tackling'
!objective11.startDate := '2024-06-01'
!objective11.endDate := '2024-09-01'
!objective11.success := false
!insert (objective11, player11) into TrainingObjectivePlayer
!new TrainingObjective('objective12')
!objective12.areaToImprove := 'Finishing'
!objective12.startDate := '2024-06-05'
!objective12.endDate := '2024-09-05'
!objective12.success := true
!insert (objective12, player12) into TrainingObjectivePlayer
</object_model> LLM as a Judge
The object model represents a plausible real-world scenario. The player ages, match duration (90 minutes), and event times (all within 90 mins) are well within logical football boundaries. The number of 'GOAL' events correctly sums to 5, perfectly matching the final match report score (3 Visitor, 2 Local). Relationships between clubs, teams, matched games, and corresponding player match statistics are coherent.
Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $0.05 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 0/116 |
| Multiplicities | 0/27 |
| Invariants | 0/4 |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 98.3% |
| String Equals | 99.6% |
| String LV | 85.6% |
| Shannon (Active) | 0.667 ± 0.471 |
| Shannon (All) | 0.377 ± 0.272 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 81.3% |
| Attributes | 86.5% |
| Relationships | 77.8% |
Uncovered Items 12
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 26/∞ |
| Attributes | 63/63 |
| Relationships | 27/∞ |
Viewer
!new Club('clubBB')
!clubBB.name := 'Buenos Aires Jaguars'
!clubBB.homeGround := "Jaguar's Den Stadium"
!clubBB.chairman := 'Fernando Gomez'
!new Club('clubBC')
!clubBC.name := 'Berlin Bears'
!clubBC.homeGround := "Bear's Berlin Arena"
!clubBC.chairman := 'Katrina Fischer'
!new Team('teamBB')
!teamBB.name := 'Buenos Aires Jaguars Pro'
!new Team('teamBC')
!teamBC.name := 'Berlin Bears Premier'
!insert (clubBB, teamBB) into ClubTeam
!insert (clubBC, teamBC) into ClubTeam
!new Player('player61')
!player61.name := 'Andrés Martinez'
!player61.age := 31
!player61.bestFoot := #LEFT
!player61.phoneNumber := '+54-11-8765432'
!new Player('player62')
!player62.name := 'Tobias Keller'
!player62.age := 23
!player62.bestFoot := #RIGHT
!player62.phoneNumber := '+49-30-54321987'
!insert (teamBB, player61) into TeamPlayer
!insert (teamBC, player62) into TeamPlayer
!new Position('position116')
!position116.positionName := #MIDFIELDER
!new Position('position109')
!position109.positionName := #FORWARD
!insert (player61, position116) into PlayerPositions
!insert (player62, position109) into PlayerPositions
!new Competition('competition24')
!competition24.name := 'Transatlantic League'
!competition24.type := 'Continental League'
!new Match('match31')
!match31.date := '2023-11-25'
!match31.homeAway := false
!insert (teamBB, match31) into VisitorMatch
!insert (teamBC, match31) into LocalMatch
!insert (competition24, match31) into CompetitionMatch
!new MatchReport('matchReport31')
!matchReport31.duration := 90
!matchReport31.scoreVisitor := 1
!matchReport31.scoreLocal := 1
!insert (match31, matchReport31) into MatchMatchReport
!new MatchEvent('matchEvent89')
!matchEvent89.eventType := #GOAL
!matchEvent89.time := 10
!new MatchEvent('matchEvent90')
!matchEvent90.eventType := #GOAL
!matchEvent90.time := 75
!new MatchEvent('matchEvent91')
!matchEvent91.eventType := #FOUL
!matchEvent91.time := 50
!insert (match31, matchEvent89) into MatchMatchEvent
!insert (match31, matchEvent90) into MatchMatchEvent
!insert (match31, matchEvent91) into MatchMatchEvent
!new MatchNote('matchNote20')
!matchNote20.note := 'A well-balanced game with impressive defensive setups.'
!matchNote20.date := '2023-11-25'
!insert (match31, matchNote20) into MatchMatchNote
!new TrainingSession('trainingSession47')
!trainingSession47.date := '2023-10-15'
!trainingSession47.location := 'Jaguars Training Grounds'
!trainingSession47.purpose := 'Developing Team Cohesion'
!new TrainingSession('trainingSession48')
!trainingSession48.date := '2023-10-17'
!trainingSession48.location := 'Bears Training Facility'
!trainingSession48.purpose := 'Improving Tactical Switching'
!insert (teamBB, trainingSession47) into TeamTraining
!insert (teamBC, trainingSession48) into TeamTraining
!new TrainingNotes('trainingNote47')
!trainingNote47.note := 'Conducted exercises on build-up play and positioning.'
!trainingNote47.date := '2023-10-15'
!new TrainingNotes('trainingNote48')
!trainingNote48.note := 'Focused on adaptive strategies for opponent pressure.'
!trainingNote48.date := '2023-10-17'
!insert (trainingSession47, trainingNote47) into TrainingTrainingNotes
!insert (trainingSession48, trainingNote48) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail20')
!trainingFail20.reason := 'Personal Leave'
!insert (trainingFail20, player62) into FailedPlayer
!insert (trainingSession48, trainingFail20) into TrainingFailded
!new TrainingObjective('trainingObjective46')
!trainingObjective46.areaToImprove := 'Strength and Conditioning'
!trainingObjective46.startDate := '2023-10-01'
!trainingObjective46.endDate := '2023-11-01'
!trainingObjective46.success := true
!new TrainingObjective('trainingObjective47')
!trainingObjective47.areaToImprove := 'Playmaking Strategy'
!trainingObjective47.startDate := '2023-10-01'
!trainingObjective47.endDate := '2023-11-01'
!trainingObjective47.success := true
!insert (trainingObjective46, player62) into TrainingObjectivePlayer
!insert (trainingObjective47, player61) into TrainingObjectivePlayer
!new PlayerNotes('playerNote25')
!playerNote25.note := 'Invaluable experience in orchestrating plays.'
!playerNote25.date := '2023-09-12'
!insert (player61, playerNote25) into PlayerPlayerNotes
!new MatchPlayer('matchPlayer56')
!matchPlayer56.booked := true
!matchPlayer56.goals := 0
!matchPlayer56.rating := 7
!new MatchPlayer('matchPlayer57')
!matchPlayer57.booked := false
!matchPlayer57.goals := 1
!matchPlayer57.rating := 8
!insert (player61, matchPlayer56) into PlayerMatch
!insert (player62, matchPlayer57) into PlayerMatch
!insert (match31, matchPlayer56) into MatchMatchPlayer
!insert (match31, matchPlayer57) into MatchMatchPlayer
!new MatchPlayerPosition('mpp56')
!mpp56.positionName := #MIDFIELDER
!mpp56.number := 5
!new MatchPlayerPosition('mpp57')
!mpp57.positionName := #FORWARD
!mpp57.number := 9
!insert (matchPlayer56, mpp56) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer57, mpp57) into MatchPlayerMatchPlayerPosition model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) You are tasked with analyzing conceptual models represented as class diagrams and expressed in the UML-based specification environment using its native syntax. You must adhere to the following requirements: - Use very clear language. - Do not overexplain, be concise. - Multiplicities must be very clear and easy to understand. You should follow the structure and requirements below: ## Description Start by explaining the overall structure and purpose of the model. ### Components Break down the components of the model (i.e., classes and attributes), describing each, their type and purpose. ## Relationships Describe the relationships between the components of the model, dependencies and multiplicities (i.e., minimum and maximum number of instances of one class that can be associated with instances of another class). Describe the multiplicities at both ends of each association. ## Invariants Define the invariants that apply to the model (i.e., those constraints that must be fulfilled). Your task is to generate a complete and diverse instance, in plain English, for a given category and based on a provided conceptual model description. The instance must adhere to these requirements: - Be self-contained: Include all required attributes, relationships, and related entities in full detail. - Conform to the model: Fulfill the constraints, multiplicities, relationships, and attributes defined in the class diagram model. - Understand the context: Ensure that its attributes and relationships are relevant. - Avoid duplication of instances: Take into consideration those instances previously built to avoid redundancy. - Semantic diversity: From a semantic point of view, incorporate varied scenarios, including regional, linguistic, or cultural differences. - Structural diversity: Include instances with different numbers of elements, different numbers of relationships and complexity, and create varied examples by changing entity attributes. You are tasked with creating instances of a conceptual model in the UML-based Specification Environment (USE). You will receive: 1. The UML class diagram that the instance follows. 2. A sample syntax of instances creation. 3. A description of the instance that needs to be created. Your goal is to generate these instances based on the provided description, adhering strictly to these requirements: - The output must be in plain text, with no additional comments, descriptions, or explanations. - Ensure that the created instance adheres to the provided description. - Follow the syntax sample provided, without deviation. - Take into account previously created instances to avoid using duplicate naming. <role>
You are an expert software and system modeler. You are able to assess the semantic quality of object models that have been created to conform to a domain model. The models are defined in USE (UML-based Specification Environment) and OCL (Object Constraint Language).
Your primary capability is "Semantic Reality Checking". You do not just check for syntactic correctness; you check for real-world plausibility and logical consistency within a given domain.
</role>
<context>
The user will provide two types of content:
1. **Domain Model (.use)**: A class diagram definition including classes, attributes, enums, relationships, multiplicities and roles.
2. **Object Model (.soil)**: An object model. This object model can be seen as a script composed of instructions for the creation of objects, relationships and setting attribute values (snapshot).
Your goal is to act as a judge to determine if the object model represents a **REALISTIC** scenario based on the domain model and common sense real-world logic.
</context>
<definitions>
- **Realistic**: The object model is syntactically correct AND semantically plausible (e.g., A 'Person' has an age between 0 and 120; a 'Car' has a positive price).
- **Unrealistic**: The object model contains contradictions, impossible physical values, or nonsensical relationships (e.g., A 'Person' is their own father; a 'Product' has a negative weight).
- **Doubtful**: You cannot determine whether the object model is realistic or not.
</definitions>
<instructions>
Follow this thinking process strictly before generating the final output:
1. **Analyze the Domain (.use)**: Understand the classes and what they represent in the real world.
2. **Analyze the Instances (.soil)**: Map the created objects to their classes. Look at the specific values assigned to attributes and the relationships created between objects.
3. **Evaluate Semantics**:
- Apply "Common Sense Knowledge" to the attribute values.
- Check cardinality and relationship logic beyond simple OCL constraints.
- Identify any outliers or logical fallacies.
4. **Determine Verdict**: Select one of the defined labels (Realistic/Unrealistic/Doubtful).
</instructions>
<constraints>
- **Tone**: Objective, Analytical, Technical.
- **Verbosity**: Low. Be direct.
- **Reasoning**: The "Why" section must be concise and specific, citing variable names, objects, or relationships when possible.
- Do not output the internal thinking process. Only output the final formatted result.
</constraints>
<output_format>
Structure your response exactly as follows:
**Response**: [Realistic | Unrealistic | Doubtful]
**Why**: [Concise explanation of your reasoning. If Unrealistic, specify the exact objects, values or relationships that break realism.]
</output_format>
<examples>
Example 1:
Input:
<domain_model>
class Person
attributes
age: Integer
end
class Pet
attributes
name: String
end
association Ownership between
Person [1] role owner
Pet [*] role pets
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 250
!new Pet('pet1')
!pet1.name := 'Luna'
… 1.000 more pets creation …
!pet1000.name := 'Max'
!insert (p1, pet1) into Ownership
…1.000 more pets associated with p1 …
!insert (p1, pet1000) into Ownership
</object_model>
Output:
**Response**: Unrealistic
**Why**: The object 'p1' of class 'Person' has an age of 250, which exceeds the biologically plausible lifespan of a human. Although it is not plausible that 1 same person owns 1.000 pets.
Example 2:
Input:
<domain_model>
class Car
attributes
brand: String
end
class Person
attributes
name: String
end
association Ownership between
Person [1] role owner
Car [*] role cars
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 19
!new Car('c1')
!c1.brand := 'Toyota'
!insert (p1, c1) into Ownership
</object_model>
Output:
**Response**: Realistic
**Why**: The object 'c1' has a valid, recognized real-world car brand assigned, and its plausible that a teenager has only one car.
Example 3:
Input:
<domain_model>
class Component
attributes
setting_val: Integer
config_mode: String
end
</domain_model>
<object_model>
!new Component('c1')
!c1.setting_val := 8080
!c1.config_mode := 'Legacy'
</object_model>
Output:
**Response**: Doubtful
**Why**: The class 'Component' and attribute 'setting_val' are generic and lack specific real-world semantic context. Without knowing what specific physical or software system this represents, it is impossible to determine if '8080' is a realistic value or an outlier.
</examples> Analyze the following UML class diagram:
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) For the same category and model description, generate another instance that is structurally and semantically different from the previous ones Continue with the following description, creating the instance according to the syntax example and this specification:
## Football Baseline Instance – Novel Scenario
### Club
- **Club Instance 1:**
- `name`: "Buenos Aires Jaguars"
- `homeGround`: "Jaguar's Den Stadium"
- `chairman`: "Fernando Gomez"
- **Club Instance 2:**
- `name`: "Berlin Bears"
- `homeGround`: "Bear's Berlin Arena"
- `chairman`: "Katrina Fischer"
### Team
- **Team Instance 1 (Buenos Aires Jaguars):**
- `name`: "Buenos Aires Jaguars Pro"
- **Team Instance 2 (Berlin Bears):**
- `name`: "Berlin Bears Premier"
### Competition
- **Competition Instance 1:**
- `name`: "Transatlantic League"
- `type`: "Continental League"
### TrainingSession
- **TrainingSession Instance 1 (Team: Buenos Aires Jaguars Pro):**
- `date`: "2023-10-15"
- `location`: "Jaguars Training Grounds"
- `purpose`: "Developing Team Cohesion"
- **TrainingSession Instance 2 (Team: Berlin Bears Premier):**
- `date`: "2023-10-17"
- `location`: "Bears Training Facility"
- `purpose`: "Improving Tactical Switching"
### TrainingNotes
- **TrainingNotes Instance 1 (Session: Buenos Aires Training Session):**
- `note`: "Conducted exercises on build-up play and positioning."
- `date`: "2023-10-15"
- **TrainingNotes Instance 2 (Session: Berlin Training Session):**
- `note`: "Focused on adaptive strategies for opponent pressure."
- `date`: "2023-10-17"
### TrainingFailedToAttend
- **TrainingFailedToAttend Instance 1 (Session: Berlin Training Session; Player: Tobias Keller):**
- `reason`: "Personal Leave"
### MatchEvent
- **MatchEvent Instance 1 (Match: Buenos Aires Jaguars vs. Berlin Bears):**
- `eventType`: GOAL
- `time`: 10
- **MatchEvent Instance 2 (Match: Buenos Aires Jaguars vs. Berlin Bears):**
- `eventType`: GOAL
- `time`: 75
- **MatchEvent Instance 3 (Match: Buenos Aires Jaguars vs. Berlin Bears):**
- `eventType`: FOUL
- `time`: 50
### Match
- **Match Instance 1 (Competition: Transatlantic League):**
- `date`: "2023-11-25"
- `homeAway`: False
### MatchReport
- **MatchReport Instance 1 (Match: Buenos Aires Jaguars vs. Berlin Bears):**
- `duration`: 90
- `scoreVisitor`: 1
- `scoreLocal`: 1
### MatchNote
- **MatchNote Instance 1 (Match: Buenos Aires Jaguars vs. Berlin Bears):**
- `note`: "A well-balanced game with impressive defensive setups."
- `date`: "2023-11-25"
### Player
- **Player Instance 1 (Team: Buenos Aires Jaguars Pro):**
- `name`: "Andrés Martinez"
- `age`: 31
- `bestFoot`: LEFT
- `phoneNumber`: "+54-11-8765432"
- **Player Instance 2 (Team: Berlin Bears Premier):**
- `name`: "Tobias Keller"
- `age`: 23
- `bestFoot`: RIGHT
- `phoneNumber`: "+49-30-54321987"
### PlayerNotes
- **PlayerNotes Instance 1 (Player: Andrés Martinez):**
- `note`: "Invaluable experience in orchestrating plays."
- `date`: "2023-09-12"
### TrainingObjective
- **TrainingObjective Instance 1 (Player: Tobias Keller):**
- `areaToImprove`: "Strength and Conditioning"
- `startDate`: "2023-10-01"
- `endDate`: "2023-11-01"
- `success`: True
### MatchPlayer
- **MatchPlayer Instance 1 (Player: Andrés Martinez):**
- `booked`: True
- `goals`: 0
- `rating`: 7
- **MatchPlayer Instance 2 (Player: Tobias Keller):**
- `booked`: False
- `goals`: 1
- `rating`: 8
### MatchPlayerPosition
- **MatchPlayerPosition Instance 1 (MatchPlayer: Andrés Martinez):**
- `positionName`: Holding Midfield
- `number`: 5
- **MatchPlayerPosition Instance 2 (MatchPlayer: Tobias Keller):**
- `positionName`: Attacker
- `number`: 9
### Position
- **Position Instance 1 (Player: Andrés Martinez):**
- `positionName`: Defensive Midfield
- **Position Instance 2 (Player: Tobias Keller):**
- `positionName`: Forward
### Relationships and Constraints
- The `Buenos Aires Jaguars Pro` belongs to the `Buenos Aires Jaguars` club.
- The `Berlin Bears Premier` belongs to the `Berlin Bears` club.
- The match on "2023-11-25" is a fixture where the `Berlin Bears Premier` acts as the home team.
- Match events and goals are balanced in alignment with the match report's final score.
- Tobias Keller planned a personal leave, indicating the interplay between personal life and professional responsibilities in a player's journey. The last output is partially incorrect:
temp.soil> !clubBB.name := 'Buenos Aires Jaguars'
temp.soil> !clubBB.homeGround := "Jaguar's Den Stadium"
<input>:line 1:6 mismatched input '.' expecting :=
temp.soil> !clubBC.name := 'Berlin Bears'
temp.soil> !clubBC.homeGround := "Bear's Berlin Arena"
<input>:line 1:6 mismatched input '.' expecting :=
temp.soil> !new Position('position116')
temp.soil> !position116.positionName := #DEFENSIVE_MIDFIELD
<input>:1:0: generation of expression `#DEFENSIVE_MIDFIELD' failed, with following error:
<input>:1:29: Undefined enumeration literal `DEFENSIVE_MIDFIELD'.
temp.soil> !new MatchPlayerPosition('mpp56')
temp.soil> !mpp56.positionName := #HOLDING_MIDFIELD
<input>:1:0: generation of expression `#HOLDING_MIDFIELD' failed, with following error:
<input>:1:23: Undefined enumeration literal `HOLDING_MIDFIELD'.
temp.soil> !new MatchPlayerPosition('mpp57')
temp.soil> !mpp57.positionName := #ATTACKER
<input>:1:0: generation of expression `#ATTACKER' failed, with following error:
<input>:1:23: Undefined enumeration literal `ATTACKER'.
Please provide the complete output corrected The last output is partially incorrect:
temp.soil> !clubBB.name := 'Buenos Aires Jaguars'
temp.soil> !clubBB.homeGround := "Jaguar's Den Stadium"
<input>:line 1:6 mismatched input '.' expecting :=
temp.soil> !clubBC.name := 'Berlin Bears'
temp.soil> !clubBC.homeGround := "Bear's Berlin Arena"
<input>:line 1:6 mismatched input '.' expecting :=
Please provide the complete output corrected The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player61' of class `Player' is connected to 0 objects of class `TrainingObjective'
at association end `trainingObjective' but the multiplicity is specified as `1..*'.
Please provide the complete output corrected <domain_model>
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal)
</domain_model>
<object_model>
!new Club('clubBB')
!clubBB.name := 'Buenos Aires Jaguars'
!clubBB.homeGround := "Jaguar's Den Stadium"
!clubBB.chairman := 'Fernando Gomez'
!new Club('clubBC')
!clubBC.name := 'Berlin Bears'
!clubBC.homeGround := "Bear's Berlin Arena"
!clubBC.chairman := 'Katrina Fischer'
!new Team('teamBB')
!teamBB.name := 'Buenos Aires Jaguars Pro'
!new Team('teamBC')
!teamBC.name := 'Berlin Bears Premier'
!insert (clubBB, teamBB) into ClubTeam
!insert (clubBC, teamBC) into ClubTeam
!new Player('player61')
!player61.name := 'Andrés Martinez'
!player61.age := 31
!player61.bestFoot := #LEFT
!player61.phoneNumber := '+54-11-8765432'
!new Player('player62')
!player62.name := 'Tobias Keller'
!player62.age := 23
!player62.bestFoot := #RIGHT
!player62.phoneNumber := '+49-30-54321987'
!insert (teamBB, player61) into TeamPlayer
!insert (teamBC, player62) into TeamPlayer
!new Position('position116')
!position116.positionName := #MIDFIELDER
!new Position('position109')
!position109.positionName := #FORWARD
!insert (player61, position116) into PlayerPositions
!insert (player62, position109) into PlayerPositions
!new Competition('competition24')
!competition24.name := 'Transatlantic League'
!competition24.type := 'Continental League'
!new Match('match31')
!match31.date := '2023-11-25'
!match31.homeAway := false
!insert (teamBB, match31) into VisitorMatch
!insert (teamBC, match31) into LocalMatch
!insert (competition24, match31) into CompetitionMatch
!new MatchReport('matchReport31')
!matchReport31.duration := 90
!matchReport31.scoreVisitor := 1
!matchReport31.scoreLocal := 1
!insert (match31, matchReport31) into MatchMatchReport
!new MatchEvent('matchEvent89')
!matchEvent89.eventType := #GOAL
!matchEvent89.time := 10
!new MatchEvent('matchEvent90')
!matchEvent90.eventType := #GOAL
!matchEvent90.time := 75
!new MatchEvent('matchEvent91')
!matchEvent91.eventType := #FOUL
!matchEvent91.time := 50
!insert (match31, matchEvent89) into MatchMatchEvent
!insert (match31, matchEvent90) into MatchMatchEvent
!insert (match31, matchEvent91) into MatchMatchEvent
!new MatchNote('matchNote20')
!matchNote20.note := 'A well-balanced game with impressive defensive setups.'
!matchNote20.date := '2023-11-25'
!insert (match31, matchNote20) into MatchMatchNote
!new TrainingSession('trainingSession47')
!trainingSession47.date := '2023-10-15'
!trainingSession47.location := 'Jaguars Training Grounds'
!trainingSession47.purpose := 'Developing Team Cohesion'
!new TrainingSession('trainingSession48')
!trainingSession48.date := '2023-10-17'
!trainingSession48.location := 'Bears Training Facility'
!trainingSession48.purpose := 'Improving Tactical Switching'
!insert (teamBB, trainingSession47) into TeamTraining
!insert (teamBC, trainingSession48) into TeamTraining
!new TrainingNotes('trainingNote47')
!trainingNote47.note := 'Conducted exercises on build-up play and positioning.'
!trainingNote47.date := '2023-10-15'
!new TrainingNotes('trainingNote48')
!trainingNote48.note := 'Focused on adaptive strategies for opponent pressure.'
!trainingNote48.date := '2023-10-17'
!insert (trainingSession47, trainingNote47) into TrainingTrainingNotes
!insert (trainingSession48, trainingNote48) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail20')
!trainingFail20.reason := 'Personal Leave'
!insert (trainingFail20, player62) into FailedPlayer
!insert (trainingSession48, trainingFail20) into TrainingFailded
!new TrainingObjective('trainingObjective46')
!trainingObjective46.areaToImprove := 'Strength and Conditioning'
!trainingObjective46.startDate := '2023-10-01'
!trainingObjective46.endDate := '2023-11-01'
!trainingObjective46.success := true
!new TrainingObjective('trainingObjective47')
!trainingObjective47.areaToImprove := 'Playmaking Strategy'
!trainingObjective47.startDate := '2023-10-01'
!trainingObjective47.endDate := '2023-11-01'
!trainingObjective47.success := true
!insert (trainingObjective46, player62) into TrainingObjectivePlayer
!insert (trainingObjective47, player61) into TrainingObjectivePlayer
!new PlayerNotes('playerNote25')
!playerNote25.note := 'Invaluable experience in orchestrating plays.'
!playerNote25.date := '2023-09-12'
!insert (player61, playerNote25) into PlayerPlayerNotes
!new MatchPlayer('matchPlayer56')
!matchPlayer56.booked := true
!matchPlayer56.goals := 0
!matchPlayer56.rating := 7
!new MatchPlayer('matchPlayer57')
!matchPlayer57.booked := false
!matchPlayer57.goals := 1
!matchPlayer57.rating := 8
!insert (player61, matchPlayer56) into PlayerMatch
!insert (player62, matchPlayer57) into PlayerMatch
!insert (match31, matchPlayer56) into MatchMatchPlayer
!insert (match31, matchPlayer57) into MatchMatchPlayer
!new MatchPlayerPosition('mpp56')
!mpp56.positionName := #MIDFIELDER
!mpp56.number := 5
!new MatchPlayerPosition('mpp57')
!mpp57.positionName := #FORWARD
!mpp57.number := 9
!insert (matchPlayer56, mpp56) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer57, mpp57) into MatchPlayerMatchPlayerPosition
</object_model> LLM as a Judge
The object model is logically consistent and adheres to real-world football semantics. The match duration (90), player ages, jersey numbers, and match event times are all within plausible ranges. The sum of scores matches the number of GOAL events correctly honoring the domain constraints, and the subset of instantiated players and events logically represent a valid match snapshot.
Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $1.09 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 1/120 |
| Multiplicities | 0/29 |
| Invariants | 0/4 |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 96.7% |
| String Equals | 99.1% |
| String LV | 84.1% |
| Shannon (Active) | 0.973 ± 0.039 |
| Shannon (All) | 0.509 ± 0.096 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 100.0% |
| Attributes | 100.0% |
| Relationships | 100.0% |
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 27/∞ |
| Attributes | 64/64 |
| Relationships | 29/∞ |
Viewer
!new Club('clubBF')
!clubBF.name := 'Savannah Lions'
!clubBF.homeGround := "Lions' Pride Stadium"
!clubBF.chairman := 'Kwame Mensah'
!new Club('clubBG')
!clubBG.name := 'Polar Owls'
!clubBG.homeGround := 'Icicle Arena'
!clubBG.chairman := 'Elena Ivanova'
!new Team('teamBF')
!teamBF.name := 'Grassland Warriors'
!new Team('teamBG')
!teamBG.name := 'Frosty Flyers'
!insert (clubBF, teamBF) into ClubTeam
!insert (clubBG, teamBG) into ClubTeam
!new Player('player65')
!player65.name := 'Abena Afolabi'
!player65.age := 23
!player65.bestFoot := #RIGHT
!player65.phoneNumber := '+233201234567'
!new Player('player66')
!player66.name := 'Viktor Bogdan'
!player66.age := 31
!player66.bestFoot := #BOTH
!player66.phoneNumber := '+74991234567'
!insert (teamBF, player65) into TeamPlayer
!insert (teamBG, player66) into TeamPlayer
!new Position('position117')
!position117.positionName := #MIDFIELDER
!new Position('position118')
!position118.positionName := #DEFENDER
!insert (player65, position117) into PlayerPositions
!insert (player66, position118) into PlayerPositions
!insert (player66, position117) into PlayerPositions
!new TrainingSession('trainingSession50')
!trainingSession50.date := '2023-08-01'
!trainingSession50.location := 'Pride Practice Grounds'
!trainingSession50.purpose := 'High-Temperature Conditioning'
!new TrainingSession('trainingSession51')
!trainingSession51.date := '2023-07-31'
!trainingSession51.location := 'Icicle Arena Practice Field'
!trainingSession51.purpose := 'Cold Weather Endurance'
!insert (teamBF, trainingSession50) into TeamTraining
!insert (teamBG, trainingSession51) into TeamTraining
!new TrainingNotes('trainingNote50')
!trainingNote50.note := 'Focus on hydration strategies and maintaining performance in extreme heat.'
!trainingNote50.date := '2023-08-01'
!new TrainingNotes('trainingNote51')
!trainingNote51.note := 'Exercises to maintain stamina in cold conditions.'
!trainingNote51.date := '2023-07-31'
!insert (trainingSession50, trainingNote50) into TrainingTrainingNotes
!insert (trainingSession51, trainingNote51) into TrainingTrainingNotes
!new Competition('competition26')
!competition26.name := 'Equator Cup'
!competition26.type := 'Invitational'
!new Match('match33')
!match33.date := '2023-08-10'
!match33.homeAway := false
!insert (teamBF, match33) into LocalMatch
!insert (teamBG, match33) into VisitorMatch
!insert (competition26, match33) into CompetitionMatch
!new MatchEvent('matchEvent94')
!matchEvent94.eventType := #GOAL
!matchEvent94.time := 22
!new MatchEvent('matchEvent95')
!matchEvent95.eventType := #FOUL
!matchEvent95.time := 45
!new MatchEvent('matchEvent96')
!matchEvent96.eventType := #GOAL
!matchEvent96.time := 78
!insert (match33, matchEvent94) into MatchMatchEvent
!insert (match33, matchEvent95) into MatchMatchEvent
!insert (match33, matchEvent96) into MatchMatchEvent
!new MatchReport('matchReport33')
!matchReport33.duration := 90
!matchReport33.scoreVisitor := 0
!matchReport33.scoreLocal := 2
!insert (match33, matchReport33) into MatchMatchReport
!new MatchNote('matchNote22')
!matchNote22.note := 'The Grassland Warriors executed successful heat adaptation strategies.'
!matchNote22.date := '2023-08-10'
!insert (match33, matchNote22) into MatchMatchNote
!new Match('match34')
!match34.date := '2023-08-20'
!match34.homeAway := true
!insert (teamBG, match34) into LocalMatch
!insert (teamBF, match34) into VisitorMatch
!insert (competition26, match34) into CompetitionMatch
!new MatchEvent('matchEvent97')
!matchEvent97.eventType := #GOAL
!matchEvent97.time := 60
!new MatchEvent('matchEvent98')
!matchEvent98.eventType := #FOUL
!matchEvent98.time := 80
!new MatchEvent('matchEvent99')
!matchEvent99.eventType := #GOAL
!matchEvent99.time := 85
!insert (match34, matchEvent97) into MatchMatchEvent
!insert (match34, matchEvent98) into MatchMatchEvent
!insert (match34, matchEvent99) into MatchMatchEvent
!new MatchReport('matchReport34')
!matchReport34.duration := 90
!matchReport34.scoreVisitor := 1
!matchReport34.scoreLocal := 1
!insert (match34, matchReport34) into MatchMatchReport
!new MatchNote('matchNote23')
!matchNote23.note := 'The game extended to penalties, highlighting defensive strengths.'
!matchNote23.date := '2023-08-20'
!insert (match34, matchNote23) into MatchMatchNote
!new PlayerNotes('playerNote26')
!playerNote26.note := 'Displays exemplary leadership in high-pressure situations.'
!playerNote26.date := '2023-07-15'
!insert (player65, playerNote26) into PlayerPlayerNotes
!new MatchPlayer('matchPlayer60')
!matchPlayer60.booked := false
!matchPlayer60.goals := 1
!matchPlayer60.rating := 9
!new MatchPlayer('matchPlayer61')
!matchPlayer61.booked := true
!matchPlayer61.goals := 0
!matchPlayer61.rating := 8
!insert (player65, matchPlayer60) into PlayerMatch
!insert (player66, matchPlayer61) into PlayerMatch
!insert (match33, matchPlayer60) into MatchMatchPlayer
!insert (match34, matchPlayer61) into MatchMatchPlayer
!new MatchPlayerPosition('mpp60')
!mpp60.positionName := #MIDFIELDER
!mpp60.number := 7
!new MatchPlayerPosition('mpp61')
!mpp61.positionName := #DEFENDER
!mpp61.number := 5
!insert (matchPlayer60, mpp60) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer61, mpp61) into MatchPlayerMatchPlayerPosition
!new TrainingObjective('trainingObjective48')
!trainingObjective48.areaToImprove := 'Improve Ball Control Under Pressure'
!trainingObjective48.startDate := '2023-06-01'
!trainingObjective48.endDate := '2023-07-01'
!trainingObjective48.success := true
!new TrainingObjective('trainingObjective49')
!trainingObjective49.areaToImprove := 'Defensive Techniques'
!trainingObjective49.startDate := '2023-06-01'
!trainingObjective49.endDate := '2023-07-01'
!trainingObjective49.success := true
!insert (trainingObjective48, player66) into TrainingObjectivePlayer
!insert (trainingObjective49, player65) into TrainingObjectivePlayer model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) You are tasked with analyzing conceptual models represented as class diagrams and expressed in the UML-based specification environment using its native syntax. You must adhere to the following requirements: - Use very clear language. - Do not overexplain, be concise. - Multiplicities must be very clear and easy to understand. You should follow the structure and requirements below: ## Description Start by explaining the overall structure and purpose of the model. ### Components Break down the components of the model (i.e., classes and attributes), describing each, their type and purpose. ## Relationships Describe the relationships between the components of the model, dependencies and multiplicities (i.e., minimum and maximum number of instances of one class that can be associated with instances of another class). Describe the multiplicities at both ends of each association. ## Invariants Define the invariants that apply to the model (i.e., those constraints that must be fulfilled). Your task is to generate a complete and diverse instance, in plain English, for a given category and based on a provided conceptual model description. The instance must adhere to these requirements: - Be self-contained: Include all required attributes, relationships, and related entities in full detail. - Conform to the model: Fulfill the constraints, multiplicities, relationships, and attributes defined in the class diagram model. - Understand the context: Ensure that its attributes and relationships are relevant. - Avoid duplication of instances: Take into consideration those instances previously built to avoid redundancy. - Semantic diversity: From a semantic point of view, incorporate varied scenarios, including regional, linguistic, or cultural differences. - Structural diversity: Include instances with different numbers of elements, different numbers of relationships and complexity, and create varied examples by changing entity attributes. You are tasked with creating instances of a conceptual model in the UML-based Specification Environment (USE). You will receive: 1. The UML class diagram that the instance follows. 2. A sample syntax of instances creation. 3. A description of the instance that needs to be created. Your goal is to generate these instances based on the provided description, adhering strictly to these requirements: - The output must be in plain text, with no additional comments, descriptions, or explanations. - Ensure that the created instance adheres to the provided description. - Follow the syntax sample provided, without deviation. - Take into account previously created instances to avoid using duplicate naming. <role>
You are an expert software and system modeler. You are able to assess the semantic quality of object models that have been created to conform to a domain model. The models are defined in USE (UML-based Specification Environment) and OCL (Object Constraint Language).
Your primary capability is "Semantic Reality Checking". You do not just check for syntactic correctness; you check for real-world plausibility and logical consistency within a given domain.
</role>
<context>
The user will provide two types of content:
1. **Domain Model (.use)**: A class diagram definition including classes, attributes, enums, relationships, multiplicities and roles.
2. **Object Model (.soil)**: An object model. This object model can be seen as a script composed of instructions for the creation of objects, relationships and setting attribute values (snapshot).
Your goal is to act as a judge to determine if the object model represents a **REALISTIC** scenario based on the domain model and common sense real-world logic.
</context>
<definitions>
- **Realistic**: The object model is syntactically correct AND semantically plausible (e.g., A 'Person' has an age between 0 and 120; a 'Car' has a positive price).
- **Unrealistic**: The object model contains contradictions, impossible physical values, or nonsensical relationships (e.g., A 'Person' is their own father; a 'Product' has a negative weight).
- **Doubtful**: You cannot determine whether the object model is realistic or not.
</definitions>
<instructions>
Follow this thinking process strictly before generating the final output:
1. **Analyze the Domain (.use)**: Understand the classes and what they represent in the real world.
2. **Analyze the Instances (.soil)**: Map the created objects to their classes. Look at the specific values assigned to attributes and the relationships created between objects.
3. **Evaluate Semantics**:
- Apply "Common Sense Knowledge" to the attribute values.
- Check cardinality and relationship logic beyond simple OCL constraints.
- Identify any outliers or logical fallacies.
4. **Determine Verdict**: Select one of the defined labels (Realistic/Unrealistic/Doubtful).
</instructions>
<constraints>
- **Tone**: Objective, Analytical, Technical.
- **Verbosity**: Low. Be direct.
- **Reasoning**: The "Why" section must be concise and specific, citing variable names, objects, or relationships when possible.
- Do not output the internal thinking process. Only output the final formatted result.
</constraints>
<output_format>
Structure your response exactly as follows:
**Response**: [Realistic | Unrealistic | Doubtful]
**Why**: [Concise explanation of your reasoning. If Unrealistic, specify the exact objects, values or relationships that break realism.]
</output_format>
<examples>
Example 1:
Input:
<domain_model>
class Person
attributes
age: Integer
end
class Pet
attributes
name: String
end
association Ownership between
Person [1] role owner
Pet [*] role pets
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 250
!new Pet('pet1')
!pet1.name := 'Luna'
… 1.000 more pets creation …
!pet1000.name := 'Max'
!insert (p1, pet1) into Ownership
…1.000 more pets associated with p1 …
!insert (p1, pet1000) into Ownership
</object_model>
Output:
**Response**: Unrealistic
**Why**: The object 'p1' of class 'Person' has an age of 250, which exceeds the biologically plausible lifespan of a human. Although it is not plausible that 1 same person owns 1.000 pets.
Example 2:
Input:
<domain_model>
class Car
attributes
brand: String
end
class Person
attributes
name: String
end
association Ownership between
Person [1] role owner
Car [*] role cars
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 19
!new Car('c1')
!c1.brand := 'Toyota'
!insert (p1, c1) into Ownership
</object_model>
Output:
**Response**: Realistic
**Why**: The object 'c1' has a valid, recognized real-world car brand assigned, and its plausible that a teenager has only one car.
Example 3:
Input:
<domain_model>
class Component
attributes
setting_val: Integer
config_mode: String
end
</domain_model>
<object_model>
!new Component('c1')
!c1.setting_val := 8080
!c1.config_mode := 'Legacy'
</object_model>
Output:
**Response**: Doubtful
**Why**: The class 'Component' and attribute 'setting_val' are generic and lack specific real-world semantic context. Without knowing what specific physical or software system this represents, it is impossible to determine if '8080' is a realistic value or an outlier.
</examples> Analyze the following UML class diagram:
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) For the same category and model description, generate another instance that is structurally and semantically different from the previous ones Continue with the following description, creating the instance according to the syntax example and this specification:
## Instance: Boundary Case
### Clubs
- **Club Name:** Savannah Lions
- **Home Ground:** Lions' Pride Stadium
- **Chairman:** Kwame Mensah
- **Club Name:** Polar Owls
- **Home Ground:** Icicle Arena
- **Chairman:** Elena Ivanova
### Teams
- **Team Name:** Grassland Warriors (Belongs to Savannah Lions)
- **Team Name:** Frosty Flyers (Belongs to Polar Owls)
### Training Sessions
- **Training Session Date:** 2023-08-01
- **Location:** Pride Practice Grounds
- **Purpose:** High-Temperature Conditioning
- **Training Notes:**
- **Note:** Focus on hydration strategies and maintaining performance in extreme heat.
- **Date:** 2023-08-01
- **Training Failed To Attend:**
- **Reason:** Scheduled rest day for recovery
- **Player Who Failed to Attend:** None (Boundary condition for no specific absentees)
### Competitions
- **Competition Name:** Equator Cup
- **Type:** Invitational
- **Included Matches:** 5 matches (Comprehensive competition involving group stages)
### Match #1 Details (Group Stage)
- **Match Date:** 2023-08-10
- **Home Away:** False
- **Local Team:** Grassland Warriors
- **Visitor Team:** Frosty Flyers
### Match #1 Events
- **MatchEvent:** GOAL
- **EventType:** GOAL
- **Time:** 22
- **MatchEvent:** FOUL
- **EventType:** FOUL
- **Time:** 45
- **MatchEvent:** RED_CARD
- **EventType:** RED_CARD
- **Time:** 70 (Boundary event indicating severe in-match consequence)
### Match #1 Report
- **Duration:** 90
- **Score Visitor:** 0
- **Score Local:** 2
### Match #1 Notes
- **Match Note:** The Grassland Warriors executed successful heat adaptation strategies.
- **Date:** 2023-08-10
### Match #2 Details (Semi-final)
- **Match Date:** 2023-08-20
- **Home Away:** True
- **Local Team:** Frosty Flyers
- **Visitor Team:** Grassland Warriors
### Match #2 Events
- **MatchEvent:** GOAL
- **EventType:** GOAL
- **Time:** 60
- **MatchEvent:** FOUL
- **EventType:** FOUL
- **Time:** 80
### Match #2 Report
- **Duration:** 90
- **Score Visitor:** 1
- **Score Local:** 1 (Boundary to create draw before proceeding to penalty shootout)
### Match #2 Notes
- **Match Note:** The game extended to penalties, highlighting defensive strengths.
- **Date:** 2023-08-20
### Players
- **Player Name:** Abena Afolabi
- **Age:** 23
- **Best Foot:** RIGHT
- **Phone Number:** +233201234567
- **Positions Played:**
- **Player Position:** ATTACKING_MIDFIELDER
- **Player Notes:**
- **Note:** Displays exemplary leadership in high-pressure situations.
- **Date:** 2023-07-15
- **Participated Matches:** 5 matches (Boundary case for high participation)
- **Player Name:** Viktor Bogdan
- **Age:** 31
- **Best Foot:** BOTH
- **Phone Number:** +74991234567
- **Positions Played:**
- **Player Position:** CENTRE_BACK
- **Player Position:** DEFENSIVE_MIDFIELDER
- **Player Notes:** 0 entries (Boundary case for no notes)
- **Participated Matches:** 5 matches
### Match Player Statistics
- **Player (Match Player):** Abena Afolabi
- **Booked:** False
- **Goals:** 1
- **Rating:** 9
- **Player (Match Player):** Viktor Bogdan
- **Booked:** True
- **Goals:** 0
- **Rating:** 8
### MatchPlayerPosition
- **Position Name:** ATTACKING_MIDFIELDER
- **Jersey Number:** 7
- **Position Name:** CENTRE_BACK
- **Jersey Number:** 5
### Training Objectives
- **Objective:** Improve Ball Control Under Pressure
- **Start Date:** 2023-06-01
- **End Date:** 2023-07-01
- **Success:** Yes
- **Assigned Player:** Viktor Bogdan
This instance presents an environmental contrast by considering diverse conditions like extreme heat for the Savannah-based team. It portrays a structurally complex competition with group stages and highlights an invitation-based dynamic. It also demonstrates severe match events and player versatility and adaptability in roles, aiding in comprehensive analysis of model behavior under strain and varied conditions. The last output is partially incorrect:
temp.soil> !clubBF.name := 'Savannah Lions'
temp.soil> !clubBF.homeGround := "Lions' Pride Stadium"
<input>:line 1:6 mismatched input '.' expecting :=
temp.soil> !new Position('position117')
temp.soil> !position117.positionName := #ATTACKING_MIDFIELDER
<input>:1:0: generation of expression `#ATTACKING_MIDFIELDER' failed, with following error:
<input>:1:29: Undefined enumeration literal `ATTACKING_MIDFIELDER'.
temp.soil> !new Position('position118')
temp.soil> !position118.positionName := #CENTRE_BACK
<input>:1:0: generation of expression `#CENTRE_BACK' failed, with following error:
<input>:1:29: Undefined enumeration literal `CENTRE_BACK'.
temp.soil> !new Position('position119')
temp.soil> !position119.positionName := #DEFENSIVE_MIDFIELDER
<input>:1:0: generation of expression `#DEFENSIVE_MIDFIELDER' failed, with following error:
<input>:1:29: Undefined enumeration literal `DEFENSIVE_MIDFIELDER'.
temp.soil> !new MatchEvent('matchEvent96')
temp.soil> !matchEvent96.eventType := #RED_CARD
<input>:1:0: generation of expression `#RED_CARD' failed, with following error:
<input>:1:27: Undefined enumeration literal `RED_CARD'.
temp.soil> !new MatchPlayerPosition('mpp60')
temp.soil> !mpp60.positionName := #ATTACKING_MIDFIELDER
<input>:1:0: generation of expression `#ATTACKING_MIDFIELDER' failed, with following error:
<input>:1:23: Undefined enumeration literal `ATTACKING_MIDFIELDER'.
temp.soil> !new MatchPlayerPosition('mpp61')
temp.soil> !mpp61.positionName := #CENTRE_BACK
<input>:1:0: generation of expression `#CENTRE_BACK' failed, with following error:
<input>:1:23: Undefined enumeration literal `CENTRE_BACK'.
Please provide the complete output corrected The last output is partially incorrect:
temp.soil> !clubBF.name := 'Savannah Lions'
temp.soil> !clubBF.homeGround := "Lions' Pride Stadium"
<input>:line 1:6 mismatched input '.' expecting :=
Please provide the complete output corrected The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player65' of class `Player' is connected to 0 objects of class `TrainingObjective'
at association end `trainingObjective' but the multiplicity is specified as `1..*'.
Multiplicity constraint violation in association `PlayerPositions':
Object `position117' of class `Position' is connected to 2 objects of class `Player'
at association end `player' but the multiplicity is specified as `1'.
Multiplicity constraint violation in association `TeamTraining':
Object `teamBG' of class `Team' is connected to 0 objects of class `TrainingSession'
at association end `trainingSession' but the multiplicity is specified as `1..*'.
checking invariants...
checking invariant (1) `Match::DifferentTeams': OK.
checking invariant (2) `Match::TeamsFromDifferentClubs': OK.
checking invariant (3) `MatchReport::PositiveScore': OK.
checking invariant (4) `MatchReport::SumOfScoresEqualsGoals': FAILED.
-> false : Boolean
checked 4 invariants in 0.001s, 1 failure.
Invariants
1. **DifferentTeams**: A match must not have the same team as both local and visitor.
2. **TeamsFromDifferentClubs**: Local and visitor teams must belong to different clubs.
3. **PositiveScore**: Both the visitor and local scores in a match report must be non-negative.
4. **SumOfScoresEqualsGoals**: The sum of visitor and local scores must equal the total number of goal events in the match.
Please provide the complete output corrected The last output is partially incorrect:
checking invariants...
checking invariant (1) `Match::DifferentTeams': OK.
checking invariant (2) `Match::TeamsFromDifferentClubs': OK.
checking invariant (3) `MatchReport::PositiveScore': OK.
checking invariant (4) `MatchReport::SumOfScoresEqualsGoals': FAILED.
-> false : Boolean
checked 4 invariants in 0.001s, 1 failure.
Invariants
1. **DifferentTeams**: A match must not have the same team as both local and visitor.
2. **TeamsFromDifferentClubs**: Local and visitor teams must belong to different clubs.
3. **PositiveScore**: Both the visitor and local scores in a match report must be non-negative.
4. **SumOfScoresEqualsGoals**: The sum of visitor and local scores must equal the total number of goal events in the match.
Please provide the complete output corrected <domain_model>
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal)
</domain_model>
<object_model>
!new Club('clubBF')
!clubBF.name := 'Savannah Lions'
!clubBF.homeGround := "Lions' Pride Stadium"
!clubBF.chairman := 'Kwame Mensah'
!new Club('clubBG')
!clubBG.name := 'Polar Owls'
!clubBG.homeGround := 'Icicle Arena'
!clubBG.chairman := 'Elena Ivanova'
!new Team('teamBF')
!teamBF.name := 'Grassland Warriors'
!new Team('teamBG')
!teamBG.name := 'Frosty Flyers'
!insert (clubBF, teamBF) into ClubTeam
!insert (clubBG, teamBG) into ClubTeam
!new Player('player65')
!player65.name := 'Abena Afolabi'
!player65.age := 23
!player65.bestFoot := #RIGHT
!player65.phoneNumber := '+233201234567'
!new Player('player66')
!player66.name := 'Viktor Bogdan'
!player66.age := 31
!player66.bestFoot := #BOTH
!player66.phoneNumber := '+74991234567'
!insert (teamBF, player65) into TeamPlayer
!insert (teamBG, player66) into TeamPlayer
!new Position('position117')
!position117.positionName := #MIDFIELDER
!new Position('position118')
!position118.positionName := #DEFENDER
!insert (player65, position117) into PlayerPositions
!insert (player66, position118) into PlayerPositions
!insert (player66, position117) into PlayerPositions
!new TrainingSession('trainingSession50')
!trainingSession50.date := '2023-08-01'
!trainingSession50.location := 'Pride Practice Grounds'
!trainingSession50.purpose := 'High-Temperature Conditioning'
!new TrainingSession('trainingSession51')
!trainingSession51.date := '2023-07-31'
!trainingSession51.location := 'Icicle Arena Practice Field'
!trainingSession51.purpose := 'Cold Weather Endurance'
!insert (teamBF, trainingSession50) into TeamTraining
!insert (teamBG, trainingSession51) into TeamTraining
!new TrainingNotes('trainingNote50')
!trainingNote50.note := 'Focus on hydration strategies and maintaining performance in extreme heat.'
!trainingNote50.date := '2023-08-01'
!new TrainingNotes('trainingNote51')
!trainingNote51.note := 'Exercises to maintain stamina in cold conditions.'
!trainingNote51.date := '2023-07-31'
!insert (trainingSession50, trainingNote50) into TrainingTrainingNotes
!insert (trainingSession51, trainingNote51) into TrainingTrainingNotes
!new Competition('competition26')
!competition26.name := 'Equator Cup'
!competition26.type := 'Invitational'
!new Match('match33')
!match33.date := '2023-08-10'
!match33.homeAway := false
!insert (teamBF, match33) into LocalMatch
!insert (teamBG, match33) into VisitorMatch
!insert (competition26, match33) into CompetitionMatch
!new MatchEvent('matchEvent94')
!matchEvent94.eventType := #GOAL
!matchEvent94.time := 22
!new MatchEvent('matchEvent95')
!matchEvent95.eventType := #FOUL
!matchEvent95.time := 45
!new MatchEvent('matchEvent96')
!matchEvent96.eventType := #GOAL
!matchEvent96.time := 78
!insert (match33, matchEvent94) into MatchMatchEvent
!insert (match33, matchEvent95) into MatchMatchEvent
!insert (match33, matchEvent96) into MatchMatchEvent
!new MatchReport('matchReport33')
!matchReport33.duration := 90
!matchReport33.scoreVisitor := 0
!matchReport33.scoreLocal := 2
!insert (match33, matchReport33) into MatchMatchReport
!new MatchNote('matchNote22')
!matchNote22.note := 'The Grassland Warriors executed successful heat adaptation strategies.'
!matchNote22.date := '2023-08-10'
!insert (match33, matchNote22) into MatchMatchNote
!new Match('match34')
!match34.date := '2023-08-20'
!match34.homeAway := true
!insert (teamBG, match34) into LocalMatch
!insert (teamBF, match34) into VisitorMatch
!insert (competition26, match34) into CompetitionMatch
!new MatchEvent('matchEvent97')
!matchEvent97.eventType := #GOAL
!matchEvent97.time := 60
!new MatchEvent('matchEvent98')
!matchEvent98.eventType := #FOUL
!matchEvent98.time := 80
!new MatchEvent('matchEvent99')
!matchEvent99.eventType := #GOAL
!matchEvent99.time := 85
!insert (match34, matchEvent97) into MatchMatchEvent
!insert (match34, matchEvent98) into MatchMatchEvent
!insert (match34, matchEvent99) into MatchMatchEvent
!new MatchReport('matchReport34')
!matchReport34.duration := 90
!matchReport34.scoreVisitor := 1
!matchReport34.scoreLocal := 1
!insert (match34, matchReport34) into MatchMatchReport
!new MatchNote('matchNote23')
!matchNote23.note := 'The game extended to penalties, highlighting defensive strengths.'
!matchNote23.date := '2023-08-20'
!insert (match34, matchNote23) into MatchMatchNote
!new PlayerNotes('playerNote26')
!playerNote26.note := 'Displays exemplary leadership in high-pressure situations.'
!playerNote26.date := '2023-07-15'
!insert (player65, playerNote26) into PlayerPlayerNotes
!new MatchPlayer('matchPlayer60')
!matchPlayer60.booked := false
!matchPlayer60.goals := 1
!matchPlayer60.rating := 9
!new MatchPlayer('matchPlayer61')
!matchPlayer61.booked := true
!matchPlayer61.goals := 0
!matchPlayer61.rating := 8
!insert (player65, matchPlayer60) into PlayerMatch
!insert (player66, matchPlayer61) into PlayerMatch
!insert (match33, matchPlayer60) into MatchMatchPlayer
!insert (match34, matchPlayer61) into MatchMatchPlayer
!new MatchPlayerPosition('mpp60')
!mpp60.positionName := #MIDFIELDER
!mpp60.number := 7
!new MatchPlayerPosition('mpp61')
!mpp61.positionName := #DEFENDER
!mpp61.number := 5
!insert (matchPlayer60, mpp60) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer61, mpp61) into MatchPlayerMatchPlayerPosition
!new TrainingObjective('trainingObjective48')
!trainingObjective48.areaToImprove := 'Improve Ball Control Under Pressure'
!trainingObjective48.startDate := '2023-06-01'
!trainingObjective48.endDate := '2023-07-01'
!trainingObjective48.success := true
!new TrainingObjective('trainingObjective49')
!trainingObjective49.areaToImprove := 'Defensive Techniques'
!trainingObjective49.startDate := '2023-06-01'
!trainingObjective49.endDate := '2023-07-01'
!trainingObjective49.success := true
!insert (trainingObjective48, player66) into TrainingObjectivePlayer
!insert (trainingObjective49, player65) into TrainingObjectivePlayer
</object_model> LLM as a Judge
The object model accurately represents a football domain scenario. The clubs, teams, and players have logically consistent attributes (e.g., realistic phone numbers and names matching their themes). The match reports correctly align with the match events, as the total score exactly matches the number of 'GOAL' events recorded in both matches. Constraints are respected and relationships are well-formed.
Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $1.35 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 0/144 |
| Multiplicities | 1/36 |
| Invariants | 0/4 |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 97.4% |
| String Equals | 99.1% |
| String LV | 84.6% |
| Shannon (Active) | 0.973 ± 0.039 |
| Shannon (All) | 0.509 ± 0.096 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 93.8% |
| Attributes | 97.3% |
| Relationships | 88.9% |
Uncovered Items 4
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 32/∞ |
| Attributes | 76/76 |
| Relationships | 36/∞ |
Viewer
!new Club('clubBH')
!clubBH.name := 'Mumbai Mariners FC'
!clubBH.homeGround := 'Navi Mumbai Arena'
!clubBH.chairman := 'Ananya Mehta'
!new Club('clubBI')
!clubBI.name := 'Cape Town ke Nako'
!clubBI.homeGround := 'Green Point Stadium'
!clubBI.chairman := 'Sipho Ndlovu'
!new Team('teamBH')
!teamBH.name := 'Mumbai Mariners Young Stars'
!new Team('teamBI')
!teamBI.name := 'Cape Town Future Champions'
!insert (clubBH, teamBH) into ClubTeam
!insert (clubBI, teamBI) into ClubTeam
!new Player('player67')
!player67.name := 'Arjun Patel'
!player67.age := 16
!player67.bestFoot := #RIGHT
!player67.phoneNumber := '+919876543210'
!new Player('player68')
!player68.name := 'Thandiwe Mbatha'
!player68.age := 17
!player68.bestFoot := #LEFT
!player68.phoneNumber := '+27721234567'
!new Player('player69')
!player69.name := 'Karishma Joshi'
!player69.age := 15
!player69.bestFoot := #RIGHT
!player69.phoneNumber := '+919123456789'
!insert (teamBH, player67) into TeamPlayer
!insert (teamBI, player68) into TeamPlayer
!insert (teamBH, player69) into TeamPlayer
!new Position('position120')
!position120.positionName := #GOALKEEPER
!new Position('position118')
!position118.positionName := #DEFENDER
!new Position('position117')
!position117.positionName := #MIDFIELDER
!insert (player67, position117) into PlayerPositions
!insert (player68, position118) into PlayerPositions
!insert (player69, position120) into PlayerPositions
!new Competition('competition27')
!competition27.name := 'Youth Integration League'
!competition27.type := 'Development Program'
!new Match('match35')
!match35.date := '22-11-2023'
!match35.homeAway := true
!insert (teamBH, match35) into LocalMatch
!insert (teamBI, match35) into VisitorMatch
!insert (competition27, match35) into CompetitionMatch
!new MatchReport('matchReport35')
!matchReport35.duration := 60
!matchReport35.scoreVisitor := 1
!matchReport35.scoreLocal := 1
!insert (match35, matchReport35) into MatchMatchReport
!new MatchPlayer('matchPlayer62')
!matchPlayer62.booked := false
!matchPlayer62.goals := 1
!matchPlayer62.rating := 8
!new MatchPlayer('matchPlayer63')
!matchPlayer63.booked := false
!matchPlayer63.goals := 1
!matchPlayer63.rating := 9
!new MatchPlayer('matchPlayer64')
!matchPlayer64.booked := false
!matchPlayer64.goals := 0
!matchPlayer64.rating := 7
!insert (player67, matchPlayer62) into PlayerMatch
!insert (player68, matchPlayer63) into PlayerMatch
!insert (player69, matchPlayer64) into PlayerMatch
!insert (match35, matchPlayer62) into MatchMatchPlayer
!insert (match35, matchPlayer63) into MatchMatchPlayer
!insert (match35, matchPlayer64) into MatchMatchPlayer
!new MatchPlayerPosition('mpp62')
!mpp62.positionName := #MIDFIELDER
!mpp62.number := 8
!new MatchPlayerPosition('mpp63')
!mpp63.positionName := #FORWARD
!mpp63.number := 11
!new MatchPlayerPosition('mpp64')
!mpp64.positionName := #GOALKEEPER
!mpp64.number := 1
!insert (matchPlayer62, mpp62) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer63, mpp63) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer64, mpp64) into MatchPlayerMatchPlayerPosition
!new MatchEvent('matchEvent100')
!matchEvent100.eventType := #GOAL
!matchEvent100.time := 30
!new MatchEvent('matchEvent101')
!matchEvent101.eventType := #GOAL
!matchEvent101.time := 48
!insert (match35, matchEvent100) into MatchMatchEvent
!insert (match35, matchEvent101) into MatchMatchEvent
!new TrainingSession('trainingSession52')
!trainingSession52.date := '18-11-2023'
!trainingSession52.location := 'Navi Mumbai Arena Training Grounds'
!trainingSession52.purpose := 'Enhance technical skills and foster community spirit.'
!new TrainingSession('trainingSession53')
!trainingSession53.date := '18-11-2023'
!trainingSession53.location := 'Green Point Stadium Practice Area'
!trainingSession53.purpose := 'Community-based skill enhancement and resilience building.'
!insert (teamBH, trainingSession52) into TeamTraining
!insert (teamBI, trainingSession53) into TeamTraining
!new TrainingNotes('trainingNote52')
!trainingNote52.note := 'Players showed improved communication and teamwork, creating a supportive community environment.'
!trainingNote52.date := '18-11-2023'
!new TrainingNotes('trainingNote53')
!trainingNote53.note := 'Enhanced local engagement and skill cooperation.'
!trainingNote53.date := '18-11-2023'
!insert (trainingSession52, trainingNote52) into TrainingTrainingNotes
!insert (trainingSession53, trainingNote53) into TrainingTrainingNotes
!new TrainingObjective('trainingObjective50')
!trainingObjective50.areaToImprove := 'Interpersonal Skills'
!trainingObjective50.startDate := '15-11-2023'
!trainingObjective50.endDate := '20-11-2023'
!trainingObjective50.success := true
!new TrainingObjective('trainingObjective51')
!trainingObjective51.areaToImprove := 'Technical Skills'
!trainingObjective51.startDate := '15-11-2023'
!trainingObjective51.endDate := '20-11-2023'
!trainingObjective51.success := true
!insert (trainingObjective50, player67) into TrainingObjectivePlayer
!insert (trainingObjective51, player68) into TrainingObjectivePlayer
!insert (trainingObjective51, player69) into TrainingObjectivePlayer
!new TrainingFailedToAttend('trainingFail22')
!trainingFail22.reason := 'Attending exams'
!insert (trainingFail22, player69) into FailedPlayer
!insert (trainingSession52, trainingFail22) into TrainingFailded model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) You are tasked with analyzing conceptual models represented as class diagrams and expressed in the UML-based specification environment using its native syntax. You must adhere to the following requirements: - Use very clear language. - Do not overexplain, be concise. - Multiplicities must be very clear and easy to understand. You should follow the structure and requirements below: ## Description Start by explaining the overall structure and purpose of the model. ### Components Break down the components of the model (i.e., classes and attributes), describing each, their type and purpose. ## Relationships Describe the relationships between the components of the model, dependencies and multiplicities (i.e., minimum and maximum number of instances of one class that can be associated with instances of another class). Describe the multiplicities at both ends of each association. ## Invariants Define the invariants that apply to the model (i.e., those constraints that must be fulfilled). Your task is to generate a complete and diverse instance, in plain English, for a given category and based on a provided conceptual model description. The instance must adhere to these requirements: - Be self-contained: Include all required attributes, relationships, and related entities in full detail. - Conform to the model: Fulfill the constraints, multiplicities, relationships, and attributes defined in the class diagram model. - Understand the context: Ensure that its attributes and relationships are relevant. - Avoid duplication of instances: Take into consideration those instances previously built to avoid redundancy. - Semantic diversity: From a semantic point of view, incorporate varied scenarios, including regional, linguistic, or cultural differences. - Structural diversity: Include instances with different numbers of elements, different numbers of relationships and complexity, and create varied examples by changing entity attributes. You are tasked with creating instances of a conceptual model in the UML-based Specification Environment (USE). You will receive: 1. The UML class diagram that the instance follows. 2. A sample syntax of instances creation. 3. A description of the instance that needs to be created. Your goal is to generate these instances based on the provided description, adhering strictly to these requirements: - The output must be in plain text, with no additional comments, descriptions, or explanations. - Ensure that the created instance adheres to the provided description. - Follow the syntax sample provided, without deviation. - Take into account previously created instances to avoid using duplicate naming. <role>
You are an expert software and system modeler. You are able to assess the semantic quality of object models that have been created to conform to a domain model. The models are defined in USE (UML-based Specification Environment) and OCL (Object Constraint Language).
Your primary capability is "Semantic Reality Checking". You do not just check for syntactic correctness; you check for real-world plausibility and logical consistency within a given domain.
</role>
<context>
The user will provide two types of content:
1. **Domain Model (.use)**: A class diagram definition including classes, attributes, enums, relationships, multiplicities and roles.
2. **Object Model (.soil)**: An object model. This object model can be seen as a script composed of instructions for the creation of objects, relationships and setting attribute values (snapshot).
Your goal is to act as a judge to determine if the object model represents a **REALISTIC** scenario based on the domain model and common sense real-world logic.
</context>
<definitions>
- **Realistic**: The object model is syntactically correct AND semantically plausible (e.g., A 'Person' has an age between 0 and 120; a 'Car' has a positive price).
- **Unrealistic**: The object model contains contradictions, impossible physical values, or nonsensical relationships (e.g., A 'Person' is their own father; a 'Product' has a negative weight).
- **Doubtful**: You cannot determine whether the object model is realistic or not.
</definitions>
<instructions>
Follow this thinking process strictly before generating the final output:
1. **Analyze the Domain (.use)**: Understand the classes and what they represent in the real world.
2. **Analyze the Instances (.soil)**: Map the created objects to their classes. Look at the specific values assigned to attributes and the relationships created between objects.
3. **Evaluate Semantics**:
- Apply "Common Sense Knowledge" to the attribute values.
- Check cardinality and relationship logic beyond simple OCL constraints.
- Identify any outliers or logical fallacies.
4. **Determine Verdict**: Select one of the defined labels (Realistic/Unrealistic/Doubtful).
</instructions>
<constraints>
- **Tone**: Objective, Analytical, Technical.
- **Verbosity**: Low. Be direct.
- **Reasoning**: The "Why" section must be concise and specific, citing variable names, objects, or relationships when possible.
- Do not output the internal thinking process. Only output the final formatted result.
</constraints>
<output_format>
Structure your response exactly as follows:
**Response**: [Realistic | Unrealistic | Doubtful]
**Why**: [Concise explanation of your reasoning. If Unrealistic, specify the exact objects, values or relationships that break realism.]
</output_format>
<examples>
Example 1:
Input:
<domain_model>
class Person
attributes
age: Integer
end
class Pet
attributes
name: String
end
association Ownership between
Person [1] role owner
Pet [*] role pets
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 250
!new Pet('pet1')
!pet1.name := 'Luna'
… 1.000 more pets creation …
!pet1000.name := 'Max'
!insert (p1, pet1) into Ownership
…1.000 more pets associated with p1 …
!insert (p1, pet1000) into Ownership
</object_model>
Output:
**Response**: Unrealistic
**Why**: The object 'p1' of class 'Person' has an age of 250, which exceeds the biologically plausible lifespan of a human. Although it is not plausible that 1 same person owns 1.000 pets.
Example 2:
Input:
<domain_model>
class Car
attributes
brand: String
end
class Person
attributes
name: String
end
association Ownership between
Person [1] role owner
Car [*] role cars
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 19
!new Car('c1')
!c1.brand := 'Toyota'
!insert (p1, c1) into Ownership
</object_model>
Output:
**Response**: Realistic
**Why**: The object 'c1' has a valid, recognized real-world car brand assigned, and its plausible that a teenager has only one car.
Example 3:
Input:
<domain_model>
class Component
attributes
setting_val: Integer
config_mode: String
end
</domain_model>
<object_model>
!new Component('c1')
!c1.setting_val := 8080
!c1.config_mode := 'Legacy'
</object_model>
Output:
**Response**: Doubtful
**Why**: The class 'Component' and attribute 'setting_val' are generic and lack specific real-world semantic context. Without knowing what specific physical or software system this represents, it is impossible to determine if '8080' is a realistic value or an outlier.
</examples> Analyze the following UML class diagram:
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) For the same category and model description, generate another instance that is structurally and semantically different from the previous ones Continue with the following description, creating the instance according to the syntax example and this specification:
## Instance:
### Community Football Development Initiative
#### Clubs
- **Club: Mumbai Mariners FC**
- `name`: Mumbai Mariners FC
- `homeGround`: Navi Mumbai Arena
- `chairman`: Ananya Mehta
- **Club: Cape Town ke Nako**
- `name`: Cape Town ke Nako
- `homeGround`: Green Point Stadium
- `chairman`: Sipho Ndlovu
#### Teams
- **Team: Mumbai Mariners Young Stars**
- `name`: Mumbai Mariners Young Stars
- **Team: Cape Town Future Champions**
- `name`: Cape Town Future Champions
#### Players
- **Player: Arjun Patel**
- `name`: Arjun Patel
- `age`: 16
- `bestFoot`: Right
- `phoneNumber`: +919876543210
- **Player: Thandiwe Mbatha**
- `name`: Thandiwe Mbatha
- `age`: 17
- `bestFoot`: Left
- `phoneNumber`: +27721234567
- **Player: Karishma Joshi**
- `name`: Karishma Joshi
- `age`: 15
- `bestFoot`: Right
- `phoneNumber`: +919123456789
#### Positions
- **Position: Goalkeeper**
- `positionName`: Goalkeeper
- **Position: Defender**
- `positionName`: Defender
- **Position: Midfielder**
- `positionName`: Midfielder
#### Competitions
- **Competition: Youth Integration League**
- `name`: Youth Integration League
- `type`: Development Program
#### Matches
- **Match: Mariners vs Future Champions Kickoff**
- `date`: 22-11-2023
- `homeAway`: True
- **MatchReport: Mariners vs Future Champions Kickoff Report**
- `duration`: 60
- `scoreVisitor`: 1
- `scoreLocal`: 1
#### MatchPlayers
- **MatchPlayer: Arjun Patel in Mariners vs Future Champions**
- `booked`: False
- `goals`: 1
- `rating`: 8
- **MatchPlayer: Thandiwe Mbatha in Mariners vs Future Champions**
- `booked`: False
- `goals`: 1
- `rating`: 9
- **MatchPlayer: Karishma Joshi in Mariners vs Future Champions**
- `booked`: False
- `goals`: 0
- `rating`: 7
#### MatchPlayerPositions
- **MatchPlayerPosition: Arjun Patel as Midfielder**
- `positionName`: Midfielder
- `number`: 8
- **MatchPlayerPosition: Thandiwe Mbatha as Forward**
- `positionName`: Forward
- `number`: 11
- **MatchPlayerPosition: Karishma Joshi as Goalkeeper**
- `positionName`: Goalkeeper
- `number`: 1
#### MatchEvents
- **MatchEvent: Goal by Arjun Patel**
- `eventType`: GOAL
- `time`: 30
- **MatchEvent: Goal by Thandiwe Mbatha**
- `eventType`: GOAL
- `time`: 48
#### TrainingSessions
- **TrainingSession: Community Outreach Skills Workshop**
- `date`: 18-11-2023
- `location`: Navi Mumbai Arena Training Grounds
- `purpose`: Enhance technical skills and foster community spirit.
#### TrainingNotes
- **TrainingNote: Community Engagement Results**
- `note`: Players showed improved communication and teamwork, creating a supportive community environment.
- `date`: 18-11-2023
#### TrainingObjectives
- **TrainingObjective: Strengthen Team Communication**
- `areaToImprove`: Interpersonal Skills
- `startDate`: 15-11-2023
- `endDate`: 20-11-2023
- `success`: True
#### TrainingFailedToAttend
- **TrainingFailedToAttend: Non-attendance by Karishma Joshi**
- `reason`: Attending exams
### Relationships and Integrity Constraints Fulfillment
1. **Club and Team Association**:
- "Mumbai Mariners FC" has "Mumbai Mariners Young Stars".
- "Cape Town ke Nako" has "Cape Town Future Champions".
2. **Team and Players**:
- "Mumbai Mariners Young Stars" includes players "Arjun Patel" and "Karishma Joshi".
- "Cape Town Future Champions" includes player "Thandiwe Mbatha".
3. **Competition and Match**:
- The "Youth Integration League" involves the match "Mariners vs Future Champions Kickoff".
4. **Match and Match Events**:
- Events align with the match report’s goals and player contributions.
5. **Training Sessions and Notes**:
- The session "Community Outreach Skills Workshop" has corresponding notes on community engagement.
6. **Training Objectives**:
- Success of the objective indicates improvement in team communication and community involvement.
7. **Structural Diversity and Context**:
- This instance focuses on youth development through community engagement, illustrating culturally appropriate engagement tactics, educational support, and the significance of sports in holistic development, distinguishing it semantically and structurally from previous professional-focused instances. The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `trainingObjective50' of class `TrainingObjective' is connected to 2 objects of class `Player'
at association end `player' but the multiplicity is specified as `1'.
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player68' of class `Player' is connected to 0 objects of class `TrainingObjective'
at association end `trainingObjective' but the multiplicity is specified as `1..*'.
Multiplicity constraint violation in association `TeamTraining':
Object `teamBI' of class `Team' is connected to 0 objects of class `TrainingSession'
at association end `trainingSession' but the multiplicity is specified as `1..*'.
Please provide the complete output corrected The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `trainingObjective50' of class `TrainingObjective' is connected to 2 objects of class `Player'
at association end `player' but the multiplicity is specified as `1'.
Please provide the complete output corrected <domain_model>
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal)
</domain_model>
<object_model>
!new Club('clubBH')
!clubBH.name := 'Mumbai Mariners FC'
!clubBH.homeGround := 'Navi Mumbai Arena'
!clubBH.chairman := 'Ananya Mehta'
!new Club('clubBI')
!clubBI.name := 'Cape Town ke Nako'
!clubBI.homeGround := 'Green Point Stadium'
!clubBI.chairman := 'Sipho Ndlovu'
!new Team('teamBH')
!teamBH.name := 'Mumbai Mariners Young Stars'
!new Team('teamBI')
!teamBI.name := 'Cape Town Future Champions'
!insert (clubBH, teamBH) into ClubTeam
!insert (clubBI, teamBI) into ClubTeam
!new Player('player67')
!player67.name := 'Arjun Patel'
!player67.age := 16
!player67.bestFoot := #RIGHT
!player67.phoneNumber := '+919876543210'
!new Player('player68')
!player68.name := 'Thandiwe Mbatha'
!player68.age := 17
!player68.bestFoot := #LEFT
!player68.phoneNumber := '+27721234567'
!new Player('player69')
!player69.name := 'Karishma Joshi'
!player69.age := 15
!player69.bestFoot := #RIGHT
!player69.phoneNumber := '+919123456789'
!insert (teamBH, player67) into TeamPlayer
!insert (teamBI, player68) into TeamPlayer
!insert (teamBH, player69) into TeamPlayer
!new Position('position120')
!position120.positionName := #GOALKEEPER
!new Position('position118')
!position118.positionName := #DEFENDER
!new Position('position117')
!position117.positionName := #MIDFIELDER
!insert (player67, position117) into PlayerPositions
!insert (player68, position118) into PlayerPositions
!insert (player69, position120) into PlayerPositions
!new Competition('competition27')
!competition27.name := 'Youth Integration League'
!competition27.type := 'Development Program'
!new Match('match35')
!match35.date := '22-11-2023'
!match35.homeAway := true
!insert (teamBH, match35) into LocalMatch
!insert (teamBI, match35) into VisitorMatch
!insert (competition27, match35) into CompetitionMatch
!new MatchReport('matchReport35')
!matchReport35.duration := 60
!matchReport35.scoreVisitor := 1
!matchReport35.scoreLocal := 1
!insert (match35, matchReport35) into MatchMatchReport
!new MatchPlayer('matchPlayer62')
!matchPlayer62.booked := false
!matchPlayer62.goals := 1
!matchPlayer62.rating := 8
!new MatchPlayer('matchPlayer63')
!matchPlayer63.booked := false
!matchPlayer63.goals := 1
!matchPlayer63.rating := 9
!new MatchPlayer('matchPlayer64')
!matchPlayer64.booked := false
!matchPlayer64.goals := 0
!matchPlayer64.rating := 7
!insert (player67, matchPlayer62) into PlayerMatch
!insert (player68, matchPlayer63) into PlayerMatch
!insert (player69, matchPlayer64) into PlayerMatch
!insert (match35, matchPlayer62) into MatchMatchPlayer
!insert (match35, matchPlayer63) into MatchMatchPlayer
!insert (match35, matchPlayer64) into MatchMatchPlayer
!new MatchPlayerPosition('mpp62')
!mpp62.positionName := #MIDFIELDER
!mpp62.number := 8
!new MatchPlayerPosition('mpp63')
!mpp63.positionName := #FORWARD
!mpp63.number := 11
!new MatchPlayerPosition('mpp64')
!mpp64.positionName := #GOALKEEPER
!mpp64.number := 1
!insert (matchPlayer62, mpp62) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer63, mpp63) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer64, mpp64) into MatchPlayerMatchPlayerPosition
!new MatchEvent('matchEvent100')
!matchEvent100.eventType := #GOAL
!matchEvent100.time := 30
!new MatchEvent('matchEvent101')
!matchEvent101.eventType := #GOAL
!matchEvent101.time := 48
!insert (match35, matchEvent100) into MatchMatchEvent
!insert (match35, matchEvent101) into MatchMatchEvent
!new TrainingSession('trainingSession52')
!trainingSession52.date := '18-11-2023'
!trainingSession52.location := 'Navi Mumbai Arena Training Grounds'
!trainingSession52.purpose := 'Enhance technical skills and foster community spirit.'
!new TrainingSession('trainingSession53')
!trainingSession53.date := '18-11-2023'
!trainingSession53.location := 'Green Point Stadium Practice Area'
!trainingSession53.purpose := 'Community-based skill enhancement and resilience building.'
!insert (teamBH, trainingSession52) into TeamTraining
!insert (teamBI, trainingSession53) into TeamTraining
!new TrainingNotes('trainingNote52')
!trainingNote52.note := 'Players showed improved communication and teamwork, creating a supportive community environment.'
!trainingNote52.date := '18-11-2023'
!new TrainingNotes('trainingNote53')
!trainingNote53.note := 'Enhanced local engagement and skill cooperation.'
!trainingNote53.date := '18-11-2023'
!insert (trainingSession52, trainingNote52) into TrainingTrainingNotes
!insert (trainingSession53, trainingNote53) into TrainingTrainingNotes
!new TrainingObjective('trainingObjective50')
!trainingObjective50.areaToImprove := 'Interpersonal Skills'
!trainingObjective50.startDate := '15-11-2023'
!trainingObjective50.endDate := '20-11-2023'
!trainingObjective50.success := true
!new TrainingObjective('trainingObjective51')
!trainingObjective51.areaToImprove := 'Technical Skills'
!trainingObjective51.startDate := '15-11-2023'
!trainingObjective51.endDate := '20-11-2023'
!trainingObjective51.success := true
!insert (trainingObjective50, player67) into TrainingObjectivePlayer
!insert (trainingObjective51, player68) into TrainingObjectivePlayer
!insert (trainingObjective51, player69) into TrainingObjectivePlayer
!new TrainingFailedToAttend('trainingFail22')
!trainingFail22.reason := 'Attending exams'
!insert (trainingFail22, player69) into FailedPlayer
!insert (trainingSession52, trainingFail22) into TrainingFailded
</object_model> LLM as a Judge
The object model is entirely consistent with the domain. The clubs, players, and phone numbers geographically match. The match events (2 goals) align perfectly with the match scores (1-1) and occur within the match duration (60 minutes, which is plausible for a youth development match). The reason for missing training ("Attending exams") is also perfectly realistic for a 15-year-old player.
Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $0.82 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 0/128 |
| Multiplicities | 1/32 |
| Invariants | 0/4 |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 91.9% |
| String Equals | 98.6% |
| String LV | 86.6% |
| Shannon (Active) | 0.639 ± 0.453 |
| Shannon (All) | 0.457 ± 0.335 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 87.5% |
| Attributes | 89.2% |
| Relationships | 88.9% |
Uncovered Items 8
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 28/∞ |
| Attributes | 68/68 |
| Relationships | 32/∞ |
Viewer
!new Club('clubAR')
!clubAR.name := 'Eruption FC'
!clubAR.homeGround := 'Lava Flow Stadium'
!clubAR.chairman := 'Mr. Ignatius Molten'
!new Club('clubAS')
!clubAS.name := 'Magma Mavericks'
!clubAS.homeGround := 'Volcanic Rim Arena'
!clubAS.chairman := 'Ms. Petra Basalt'
!new Team('teamAR')
!teamAR.name := 'Lava Leapers'
!new Team('teamAS')
!teamAS.name := 'Ashen Warriors'
!insert (clubAR, teamAR) into ClubTeam
!insert (clubAS, teamAS) into ClubTeam
!new Player('player50')
!player50.name := 'Molten Dash'
!player50.age := 23
!player50.bestFoot := #RIGHT
!player50.phoneNumber := '+5432167890'
!new Player('player51')
!player51.name := 'Obsidian Guard'
!player51.age := 31
!player51.bestFoot := #LEFT
!player51.phoneNumber := '+6789012345'
!insert (teamAR, player50) into TeamPlayer
!insert (teamAS, player51) into TeamPlayer
!new Position('position104')
!position104.positionName := #FORWARD
!new Position('position106')
!position106.positionName := #DEFENDER
!new Position('position100')
!position100.positionName := #MIDFIELDER
!insert (player50, position104) into PlayerPositions
!insert (player51, position106) into PlayerPositions
!insert (player51, position100) into PlayerPositions
!new Competition('competition19')
!competition19.name := 'Volcanic Shield Series'
!competition19.type := 'Tournament'
!new Match('match25')
!match25.date := '21/02/2023'
!match25.homeAway := false
!insert (teamAS, match25) into LocalMatch
!insert (teamAR, match25) into VisitorMatch
!insert (competition19, match25) into CompetitionMatch
!new MatchReport('matchReport25')
!matchReport25.duration := 45
!matchReport25.scoreVisitor := 1
!matchReport25.scoreLocal := 2
!insert (match25, matchReport25) into MatchMatchReport
!new MatchEvent('matchEvent68')
!matchEvent68.eventType := #GOAL
!matchEvent68.time := 10
!new MatchEvent('matchEvent69')
!matchEvent69.eventType := #GOAL
!matchEvent69.time := 24
!new MatchEvent('matchEvent70')
!matchEvent70.eventType := #GOAL
!matchEvent70.time := 38
!new MatchEvent('matchEvent71')
!matchEvent71.eventType := #FOUL
!matchEvent71.time := 40
!insert (match25, matchEvent68) into MatchMatchEvent
!insert (match25, matchEvent69) into MatchMatchEvent
!insert (match25, matchEvent70) into MatchMatchEvent
!insert (match25, matchEvent71) into MatchMatchEvent
!new MatchPlayer('matchPlayer45')
!matchPlayer45.booked := false
!matchPlayer45.goals := 1
!matchPlayer45.rating := 7
!new MatchPlayer('matchPlayer46')
!matchPlayer46.booked := false
!matchPlayer46.goals := 1
!matchPlayer46.rating := 8
!insert (player50, matchPlayer45) into PlayerMatch
!insert (player51, matchPlayer46) into PlayerMatch
!insert (match25, matchPlayer45) into MatchMatchPlayer
!insert (match25, matchPlayer46) into MatchMatchPlayer
!new MatchPlayerPosition('position107')
!position107.positionName := #FORWARD
!position107.number := 9
!new MatchPlayerPosition('position108')
!position108.positionName := #DEFENDER
!position108.number := 3
!insert (matchPlayer45, position107) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer46, position108) into MatchPlayerMatchPlayerPosition
!new TrainingSession('trainingSession38')
!trainingSession38.date := '18/02/2023'
!trainingSession38.location := 'Lava Flow Stadium'
!trainingSession38.purpose := 'Adapting to Volcanic Ash Air Quality'
!insert (teamAR, trainingSession38) into TeamTraining
!new TrainingSession('trainingSession39')
!trainingSession39.date := '19/02/2023'
!trainingSession39.location := 'Volcanic Rim Arena'
!trainingSession39.purpose := 'Defensive Techniques in Low Visibility'
!insert (teamAS, trainingSession39) into TeamTraining
!new TrainingNotes('trainingNote38')
!trainingNote38.note := 'Enhanced respiratory techniques improved coping with reduced air quality.'
!trainingNote38.date := '18/02/2023'
!new TrainingNotes('trainingNote39')
!trainingNote39.note := 'Focus on handling unpredictable visibility and staying composed.'
!trainingNote39.date := '19/02/2023'
!insert (trainingSession38, trainingNote38) into TrainingTrainingNotes
!insert (trainingSession39, trainingNote39) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail15')
!trainingFail15.reason := 'Health precautions due to air conditions'
!insert (trainingFail15, player51) into FailedPlayer
!insert (trainingSession38, trainingFail15) into TrainingFailded
!new TrainingObjective('trainingObjective37')
!trainingObjective37.areaToImprove := 'Visibility and Handling Volcanic Particles'
!trainingObjective37.startDate := '16/02/2023'
!trainingObjective37.endDate := '20/02/2023'
!trainingObjective37.success := false
!new TrainingObjective('trainingObjective38')
!trainingObjective38.areaToImprove := 'Defensive Coverage in Harsh Conditions'
!trainingObjective38.startDate := '16/02/2023'
!trainingObjective38.endDate := '20/02/2023'
!trainingObjective38.success := true
!insert (trainingObjective37, player50) into TrainingObjectivePlayer
!insert (trainingObjective38, player51) into TrainingObjectivePlayer
!new PlayerNotes('playerNote20')
!playerNote20.note := 'Speed and agility reduced under ash fallout.'
!playerNote20.date := '19/02/2023'
!insert (player50, playerNote20) into PlayerPlayerNotes
!new PlayerNotes('playerNote21')
!playerNote21.note := 'Strong defensive skills even in low visibility.'
!playerNote21.date := '17/02/2023'
!insert (player51, playerNote21) into PlayerPlayerNotes model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) You are tasked with analyzing conceptual models represented as class diagrams and expressed in the UML-based specification environment using its native syntax. You must adhere to the following requirements: - Use very clear language. - Do not overexplain, be concise. - Multiplicities must be very clear and easy to understand. You should follow the structure and requirements below: ## Description Start by explaining the overall structure and purpose of the model. ### Components Break down the components of the model (i.e., classes and attributes), describing each, their type and purpose. ## Relationships Describe the relationships between the components of the model, dependencies and multiplicities (i.e., minimum and maximum number of instances of one class that can be associated with instances of another class). Describe the multiplicities at both ends of each association. ## Invariants Define the invariants that apply to the model (i.e., those constraints that must be fulfilled). Your task is to generate a complete and diverse instance, in plain English, for a given category and based on a provided conceptual model description. The instance must adhere to these requirements: - Be self-contained: Include all required attributes, relationships, and related entities in full detail. - Conform to the model: Fulfill the constraints, multiplicities, relationships, and attributes defined in the class diagram model. - Understand the context: Ensure that its attributes and relationships are relevant. - Avoid duplication of instances: Take into consideration those instances previously built to avoid redundancy. - Semantic diversity: From a semantic point of view, incorporate varied scenarios, including regional, linguistic, or cultural differences. - Structural diversity: Include instances with different numbers of elements, different numbers of relationships and complexity, and create varied examples by changing entity attributes. You are tasked with creating instances of a conceptual model in the UML-based Specification Environment (USE). You will receive: 1. The UML class diagram that the instance follows. 2. A sample syntax of instances creation. 3. A description of the instance that needs to be created. Your goal is to generate these instances based on the provided description, adhering strictly to these requirements: - The output must be in plain text, with no additional comments, descriptions, or explanations. - Ensure that the created instance adheres to the provided description. - Follow the syntax sample provided, without deviation. - Take into account previously created instances to avoid using duplicate naming. <role>
You are an expert software and system modeler. You are able to assess the semantic quality of object models that have been created to conform to a domain model. The models are defined in USE (UML-based Specification Environment) and OCL (Object Constraint Language).
Your primary capability is "Semantic Reality Checking". You do not just check for syntactic correctness; you check for real-world plausibility and logical consistency within a given domain.
</role>
<context>
The user will provide two types of content:
1. **Domain Model (.use)**: A class diagram definition including classes, attributes, enums, relationships, multiplicities and roles.
2. **Object Model (.soil)**: An object model. This object model can be seen as a script composed of instructions for the creation of objects, relationships and setting attribute values (snapshot).
Your goal is to act as a judge to determine if the object model represents a **REALISTIC** scenario based on the domain model and common sense real-world logic.
</context>
<definitions>
- **Realistic**: The object model is syntactically correct AND semantically plausible (e.g., A 'Person' has an age between 0 and 120; a 'Car' has a positive price).
- **Unrealistic**: The object model contains contradictions, impossible physical values, or nonsensical relationships (e.g., A 'Person' is their own father; a 'Product' has a negative weight).
- **Doubtful**: You cannot determine whether the object model is realistic or not.
</definitions>
<instructions>
Follow this thinking process strictly before generating the final output:
1. **Analyze the Domain (.use)**: Understand the classes and what they represent in the real world.
2. **Analyze the Instances (.soil)**: Map the created objects to their classes. Look at the specific values assigned to attributes and the relationships created between objects.
3. **Evaluate Semantics**:
- Apply "Common Sense Knowledge" to the attribute values.
- Check cardinality and relationship logic beyond simple OCL constraints.
- Identify any outliers or logical fallacies.
4. **Determine Verdict**: Select one of the defined labels (Realistic/Unrealistic/Doubtful).
</instructions>
<constraints>
- **Tone**: Objective, Analytical, Technical.
- **Verbosity**: Low. Be direct.
- **Reasoning**: The "Why" section must be concise and specific, citing variable names, objects, or relationships when possible.
- Do not output the internal thinking process. Only output the final formatted result.
</constraints>
<output_format>
Structure your response exactly as follows:
**Response**: [Realistic | Unrealistic | Doubtful]
**Why**: [Concise explanation of your reasoning. If Unrealistic, specify the exact objects, values or relationships that break realism.]
</output_format>
<examples>
Example 1:
Input:
<domain_model>
class Person
attributes
age: Integer
end
class Pet
attributes
name: String
end
association Ownership between
Person [1] role owner
Pet [*] role pets
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 250
!new Pet('pet1')
!pet1.name := 'Luna'
… 1.000 more pets creation …
!pet1000.name := 'Max'
!insert (p1, pet1) into Ownership
…1.000 more pets associated with p1 …
!insert (p1, pet1000) into Ownership
</object_model>
Output:
**Response**: Unrealistic
**Why**: The object 'p1' of class 'Person' has an age of 250, which exceeds the biologically plausible lifespan of a human. Although it is not plausible that 1 same person owns 1.000 pets.
Example 2:
Input:
<domain_model>
class Car
attributes
brand: String
end
class Person
attributes
name: String
end
association Ownership between
Person [1] role owner
Car [*] role cars
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 19
!new Car('c1')
!c1.brand := 'Toyota'
!insert (p1, c1) into Ownership
</object_model>
Output:
**Response**: Realistic
**Why**: The object 'c1' has a valid, recognized real-world car brand assigned, and its plausible that a teenager has only one car.
Example 3:
Input:
<domain_model>
class Component
attributes
setting_val: Integer
config_mode: String
end
</domain_model>
<object_model>
!new Component('c1')
!c1.setting_val := 8080
!c1.config_mode := 'Legacy'
</object_model>
Output:
**Response**: Doubtful
**Why**: The class 'Component' and attribute 'setting_val' are generic and lack specific real-world semantic context. Without knowing what specific physical or software system this represents, it is impossible to determine if '8080' is a realistic value or an outlier.
</examples> Analyze the following UML class diagram:
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) For the same category and model description, generate another instance that is structurally and semantically different from the previous ones Continue with the following description, creating the instance according to the syntax example and this specification:
## Edge Instance: "Volcanic Ash Football Challenge"
### Clubs
- **Eruption FC**
- Name: Eruption FC
- Home Ground: Lava Flow Stadium
- Chairman: Mr. Ignatius Molten
- **Magma Mavericks**
- Name: Magma Mavericks
- Home Ground: Volcanic Rim Arena
- Chairman: Ms. Petra Basalt
### Teams
- **Lava Leapers**
- Part of: Eruption FC
- **Ashen Warriors**
- Part of: Magma Mavericks
### Competitions
- **Name**: Volcanic Shield Series
- Type: Tournament
### Matches
- **Date**: 21/02/2023
- **HomeAway**: False (Ashen Warriors playing at Volcanic Rim Arena)
- **Teams**: Ashen Warriors (local) vs. Lava Leapers (visitor)
- **Match Report**:
- Duration: 45 minutes (abandoned at half-time due to ash eruption)
- Score Visitor: 1
- Score Local: 2
- Total Goals: 3
- **Match Events**:
- **GOAL**: Minute 10 - Lava Leapers
- **GOAL**: Minute 24 - Ashen Warriors
- **GOAL**: Minute 38 - Ashen Warriors
- **FOUL**: Minute 40 - Lava Leapers
- **Match Players**:
- **Lava Leapers**:
- Player: **Molten Dash**, Goals: 1, Rating: 7, Booked: False
- Position: **Forward**, Jersey Number: 9
- **Ashen Warriors**:
- Player: **Obsidian Guard**, Goals: 1, Rating: 8, Booked: False
- Position: **Defender**, Jersey Number: 3
### Training Sessions
- **Session 1**
- Date: 18/02/2023
- Location: Lava Flow Stadium
- Purpose: Adapting to Volcanic Ash Air Quality
- **Training Notes**:
- Note: "Enhanced respiratory techniques improved coping with reduced air quality."
- Date: 18/02/2023
- **Failed To Attend**:
- Player: Obsidian Guard - Reason: "Health precautions due to air conditions"
- **Training Objectives**:
- Area To Improve: Visibility and Handling Volcanic Particles
- Start Date: 16/02/2023
- End Date: 20/02/2023
- Success: Partial
- Assigned Players:
- **Molten Dash** from Lava Leapers
### Players
- **Molten Dash**
- Age: 23
- Best Foot: Right
- Phone Number: +5432167890
- **Positions**: Forward, Winger
- **Player Notes**:
- Note: "Speed and agility reduced under ash fallout."
- Date: 19/02/2023
- **Obsidian Guard**
- Age: 31
- Best Foot: Left
- Phone Number: +6789012345
- **Positions**: Defender, Midfielder
- **Player Notes**:
- Note: "Strong defensive skills even in low visibility."
- Date: 17/02/2023
### Unusual Aspects:
- The match is held near a volcanic site, leading to an environmental phenomenon where volcanic ash impacts both play and training.
- The match is interrupted at half-time, highlighting the unpredictable nature of such an extreme environment.
- Training focuses on adaptation to reduced visibility and air quality, presenting unique challenges not typically encountered in conventional football environments. The last output is partially incorrect:
temp.soil> !new Position('position105')
temp.soil> !position105.positionName := #WINGER
<input>:1:0: generation of expression `#WINGER' failed, with following error:
<input>:1:29: Undefined enumeration literal `WINGER'.
Please provide the complete output corrected The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player51' of class `Player' is connected to 0 objects of class `TrainingObjective'
at association end `trainingObjective' but the multiplicity is specified as `1..*'.
Multiplicity constraint violation in association `TeamTraining':
Object `teamAS' of class `Team' is connected to 0 objects of class `TrainingSession'
at association end `trainingSession' but the multiplicity is specified as `1..*'.
Please provide the complete output corrected <domain_model>
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal)
</domain_model>
<object_model>
!new Club('clubAR')
!clubAR.name := 'Eruption FC'
!clubAR.homeGround := 'Lava Flow Stadium'
!clubAR.chairman := 'Mr. Ignatius Molten'
!new Club('clubAS')
!clubAS.name := 'Magma Mavericks'
!clubAS.homeGround := 'Volcanic Rim Arena'
!clubAS.chairman := 'Ms. Petra Basalt'
!new Team('teamAR')
!teamAR.name := 'Lava Leapers'
!new Team('teamAS')
!teamAS.name := 'Ashen Warriors'
!insert (clubAR, teamAR) into ClubTeam
!insert (clubAS, teamAS) into ClubTeam
!new Player('player50')
!player50.name := 'Molten Dash'
!player50.age := 23
!player50.bestFoot := #RIGHT
!player50.phoneNumber := '+5432167890'
!new Player('player51')
!player51.name := 'Obsidian Guard'
!player51.age := 31
!player51.bestFoot := #LEFT
!player51.phoneNumber := '+6789012345'
!insert (teamAR, player50) into TeamPlayer
!insert (teamAS, player51) into TeamPlayer
!new Position('position104')
!position104.positionName := #FORWARD
!new Position('position106')
!position106.positionName := #DEFENDER
!new Position('position100')
!position100.positionName := #MIDFIELDER
!insert (player50, position104) into PlayerPositions
!insert (player51, position106) into PlayerPositions
!insert (player51, position100) into PlayerPositions
!new Competition('competition19')
!competition19.name := 'Volcanic Shield Series'
!competition19.type := 'Tournament'
!new Match('match25')
!match25.date := '21/02/2023'
!match25.homeAway := false
!insert (teamAS, match25) into LocalMatch
!insert (teamAR, match25) into VisitorMatch
!insert (competition19, match25) into CompetitionMatch
!new MatchReport('matchReport25')
!matchReport25.duration := 45
!matchReport25.scoreVisitor := 1
!matchReport25.scoreLocal := 2
!insert (match25, matchReport25) into MatchMatchReport
!new MatchEvent('matchEvent68')
!matchEvent68.eventType := #GOAL
!matchEvent68.time := 10
!new MatchEvent('matchEvent69')
!matchEvent69.eventType := #GOAL
!matchEvent69.time := 24
!new MatchEvent('matchEvent70')
!matchEvent70.eventType := #GOAL
!matchEvent70.time := 38
!new MatchEvent('matchEvent71')
!matchEvent71.eventType := #FOUL
!matchEvent71.time := 40
!insert (match25, matchEvent68) into MatchMatchEvent
!insert (match25, matchEvent69) into MatchMatchEvent
!insert (match25, matchEvent70) into MatchMatchEvent
!insert (match25, matchEvent71) into MatchMatchEvent
!new MatchPlayer('matchPlayer45')
!matchPlayer45.booked := false
!matchPlayer45.goals := 1
!matchPlayer45.rating := 7
!new MatchPlayer('matchPlayer46')
!matchPlayer46.booked := false
!matchPlayer46.goals := 1
!matchPlayer46.rating := 8
!insert (player50, matchPlayer45) into PlayerMatch
!insert (player51, matchPlayer46) into PlayerMatch
!insert (match25, matchPlayer45) into MatchMatchPlayer
!insert (match25, matchPlayer46) into MatchMatchPlayer
!new MatchPlayerPosition('position107')
!position107.positionName := #FORWARD
!position107.number := 9
!new MatchPlayerPosition('position108')
!position108.positionName := #DEFENDER
!position108.number := 3
!insert (matchPlayer45, position107) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer46, position108) into MatchPlayerMatchPlayerPosition
!new TrainingSession('trainingSession38')
!trainingSession38.date := '18/02/2023'
!trainingSession38.location := 'Lava Flow Stadium'
!trainingSession38.purpose := 'Adapting to Volcanic Ash Air Quality'
!insert (teamAR, trainingSession38) into TeamTraining
!new TrainingSession('trainingSession39')
!trainingSession39.date := '19/02/2023'
!trainingSession39.location := 'Volcanic Rim Arena'
!trainingSession39.purpose := 'Defensive Techniques in Low Visibility'
!insert (teamAS, trainingSession39) into TeamTraining
!new TrainingNotes('trainingNote38')
!trainingNote38.note := 'Enhanced respiratory techniques improved coping with reduced air quality.'
!trainingNote38.date := '18/02/2023'
!new TrainingNotes('trainingNote39')
!trainingNote39.note := 'Focus on handling unpredictable visibility and staying composed.'
!trainingNote39.date := '19/02/2023'
!insert (trainingSession38, trainingNote38) into TrainingTrainingNotes
!insert (trainingSession39, trainingNote39) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail15')
!trainingFail15.reason := 'Health precautions due to air conditions'
!insert (trainingFail15, player51) into FailedPlayer
!insert (trainingSession38, trainingFail15) into TrainingFailded
!new TrainingObjective('trainingObjective37')
!trainingObjective37.areaToImprove := 'Visibility and Handling Volcanic Particles'
!trainingObjective37.startDate := '16/02/2023'
!trainingObjective37.endDate := '20/02/2023'
!trainingObjective37.success := false
!new TrainingObjective('trainingObjective38')
!trainingObjective38.areaToImprove := 'Defensive Coverage in Harsh Conditions'
!trainingObjective38.startDate := '16/02/2023'
!trainingObjective38.endDate := '20/02/2023'
!trainingObjective38.success := true
!insert (trainingObjective37, player50) into TrainingObjectivePlayer
!insert (trainingObjective38, player51) into TrainingObjectivePlayer
!new PlayerNotes('playerNote20')
!playerNote20.note := 'Speed and agility reduced under ash fallout.'
!playerNote20.date := '19/02/2023'
!insert (player50, playerNote20) into PlayerPlayerNotes
!new PlayerNotes('playerNote21')
!playerNote21.note := 'Strong defensive skills even in low visibility.'
!playerNote21.date := '17/02/2023'
!insert (player51, playerNote21) into PlayerPlayerNotes
</object_model> LLM as a Judge
Player 'player51' failed to attend 'trainingSession38' via the 'trainingFail15' record. However, 'player51' belongs to 'teamAS', while 'trainingSession38' is a training session for a different team ('teamAR'). A player cannot be marked as failing to attend a training session for a team they do not play for.
Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $0.81 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 0/127 |
| Multiplicities | 0/31 |
| Invariants | 0/4 |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 97.1% |
| String Equals | 98.7% |
| String LV | 85.1% |
| Shannon (Active) | 0.937 ± 0.089 |
| Shannon (All) | 0.591 ± 0.183 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 93.8% |
| Attributes | 94.6% |
| Relationships | 94.4% |
Uncovered Items 4
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 29/∞ |
| Attributes | 67/67 |
| Relationships | 31/∞ |
Viewer
!new Club('clubBD')
!clubBD.name := 'Savannah Lions FC'
!clubBD.homeGround := "Lion's Roar Stadium, Accra"
!clubBD.chairman := 'Kwame Mensah'
!new Club('clubBE')
!clubBE.name := 'Riverine Sharks FC'
!clubBE.homeGround := 'Shark Tank Arena, Lagos'
!clubBE.chairman := 'Funmi Adebayo'
!new Team('teamBD')
!teamBD.name := 'Lion Cubs'
!new Team('teamBE')
!teamBE.name := 'Sharklings'
!insert (clubBD, teamBD) into ClubTeam
!insert (clubBE, teamBE) into ClubTeam
!new Player('player63')
!player63.name := 'Kofi Aidoo'
!player63.age := 20
!player63.bestFoot := #LEFT
!player63.phoneNumber := '+233 201 123 456'
!new Player('player64')
!player64.name := 'Chika Okeke'
!player64.age := 23
!player64.bestFoot := #RIGHT
!player64.phoneNumber := '+234 701 678 910'
!insert (teamBD, player63) into TeamPlayer
!insert (teamBE, player64) into TeamPlayer
!new Position('position100')
!position100.positionName := #MIDFIELDER
!new Position('position109')
!position109.positionName := #FORWARD
!new Position('position106')
!position106.positionName := #DEFENDER
!insert (player63, position100) into PlayerPositions
!insert (player63, position109) into PlayerPositions
!insert (player64, position106) into PlayerPositions
!new Competition('competition25')
!competition25.name := 'West African Amateur League Cup'
!competition25.type := 'League'
!new Match('match32')
!match32.date := '12th February 2024'
!match32.homeAway := false
!insert (teamBD, match32) into VisitorMatch
!insert (teamBE, match32) into VisitorMatch
!insert (competition25, match32) into CompetitionMatch
!new MatchReport('matchReport32')
!matchReport32.duration := 90
!matchReport32.scoreVisitor := 1
!matchReport32.scoreLocal := 1
!insert (match32, matchReport32) into MatchMatchReport
!new MatchEvent('matchEvent92')
!matchEvent92.eventType := #GOAL
!matchEvent92.time := 30
!new MatchEvent('matchEvent93')
!matchEvent93.eventType := #FOUL
!matchEvent93.time := 60
!insert (match32, matchEvent92) into MatchMatchEvent
!insert (match32, matchEvent93) into MatchMatchEvent
!new MatchPlayer('matchPlayer58')
!matchPlayer58.booked := false
!matchPlayer58.goals := 1
!matchPlayer58.rating := 8
!new MatchPlayer('matchPlayer59')
!matchPlayer59.booked := true
!matchPlayer59.goals := 0
!matchPlayer59.rating := 6
!insert (player63, matchPlayer58) into PlayerMatch
!insert (player64, matchPlayer59) into PlayerMatch
!insert (match32, matchPlayer58) into MatchMatchPlayer
!insert (match32, matchPlayer59) into MatchMatchPlayer
!new MatchPlayerPosition('mpp58')
!mpp58.positionName := #FORWARD
!mpp58.number := 10
!new MatchPlayerPosition('mpp59')
!mpp59.positionName := #DEFENDER
!mpp59.number := 5
!insert (matchPlayer58, mpp58) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer59, mpp59) into MatchPlayerMatchPlayerPosition
!new MatchNote('matchNote21')
!matchNote21.note := 'Heightened confusion ensued as both squads acted under the notion of away game protocols, impacting tactics.'
!matchNote21.date := '13th February 2024'
!insert (match32, matchNote21) into MatchMatchNote
!new TrainingSession('trainingSession49')
!trainingSession49.date := '16th February 2024'
!trainingSession49.location := "Lion's Roar Practice Field"
!trainingSession49.purpose := 'Re-alignment of team strategies and communication protocols post-confusion.'
!insert (teamBD, trainingSession49) into TeamTraining
!new TrainingFailedToAttend('trainingFail21')
!trainingFail21.reason := 'Inconsistent fixture postings and misinformation led to absenteeism among key players.'
!insert (trainingFail21, player64) into FailedPlayer
!insert (trainingSession49, trainingFail21) into TrainingFailded
!new TrainingNotes('trainingNote49')
!trainingNote49.note := 'Attendance mismatches led to adaptive training focused on improving team communication and scheduling acumen.'
!trainingNote49.date := '17th February 2024'
!insert (trainingSession49, trainingNote49) into TrainingTrainingNotes model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) You are tasked with analyzing conceptual models represented as class diagrams and expressed in the UML-based specification environment using its native syntax. You must adhere to the following requirements: - Use very clear language. - Do not overexplain, be concise. - Multiplicities must be very clear and easy to understand. You should follow the structure and requirements below: ## Description Start by explaining the overall structure and purpose of the model. ### Components Break down the components of the model (i.e., classes and attributes), describing each, their type and purpose. ## Relationships Describe the relationships between the components of the model, dependencies and multiplicities (i.e., minimum and maximum number of instances of one class that can be associated with instances of another class). Describe the multiplicities at both ends of each association. ## Invariants Define the invariants that apply to the model (i.e., those constraints that must be fulfilled). Your task is to generate a complete and diverse instance, in plain English, for a given category and based on a provided conceptual model description. The instance must adhere to these requirements: - Be self-contained: Include all required attributes, relationships, and related entities in full detail. - Conform to the model: Fulfill the constraints, multiplicities, relationships, and attributes defined in the class diagram model. - Understand the context: Ensure that its attributes and relationships are relevant. - Avoid duplication of instances: Take into consideration those instances previously built to avoid redundancy. - Semantic diversity: From a semantic point of view, incorporate varied scenarios, including regional, linguistic, or cultural differences. - Structural diversity: Include instances with different numbers of elements, different numbers of relationships and complexity, and create varied examples by changing entity attributes. You are tasked with creating instances of a conceptual model in the UML-based Specification Environment (USE). You will receive: 1. The UML class diagram that the instance follows. 2. A sample syntax of instances creation. 3. A description of the instance that needs to be created. Your goal is to generate these instances based on the provided description, adhering strictly to these requirements: - The output must be in plain text, with no additional comments, descriptions, or explanations. - Ensure that the created instance adheres to the provided description. - Follow the syntax sample provided, without deviation. - Take into account previously created instances to avoid using duplicate naming. <role>
You are an expert software and system modeler. You are able to assess the semantic quality of object models that have been created to conform to a domain model. The models are defined in USE (UML-based Specification Environment) and OCL (Object Constraint Language).
Your primary capability is "Semantic Reality Checking". You do not just check for syntactic correctness; you check for real-world plausibility and logical consistency within a given domain.
</role>
<context>
The user will provide two types of content:
1. **Domain Model (.use)**: A class diagram definition including classes, attributes, enums, relationships, multiplicities and roles.
2. **Object Model (.soil)**: An object model. This object model can be seen as a script composed of instructions for the creation of objects, relationships and setting attribute values (snapshot).
Your goal is to act as a judge to determine if the object model represents a **REALISTIC** scenario based on the domain model and common sense real-world logic.
</context>
<definitions>
- **Realistic**: The object model is syntactically correct AND semantically plausible (e.g., A 'Person' has an age between 0 and 120; a 'Car' has a positive price).
- **Unrealistic**: The object model contains contradictions, impossible physical values, or nonsensical relationships (e.g., A 'Person' is their own father; a 'Product' has a negative weight).
- **Doubtful**: You cannot determine whether the object model is realistic or not.
</definitions>
<instructions>
Follow this thinking process strictly before generating the final output:
1. **Analyze the Domain (.use)**: Understand the classes and what they represent in the real world.
2. **Analyze the Instances (.soil)**: Map the created objects to their classes. Look at the specific values assigned to attributes and the relationships created between objects.
3. **Evaluate Semantics**:
- Apply "Common Sense Knowledge" to the attribute values.
- Check cardinality and relationship logic beyond simple OCL constraints.
- Identify any outliers or logical fallacies.
4. **Determine Verdict**: Select one of the defined labels (Realistic/Unrealistic/Doubtful).
</instructions>
<constraints>
- **Tone**: Objective, Analytical, Technical.
- **Verbosity**: Low. Be direct.
- **Reasoning**: The "Why" section must be concise and specific, citing variable names, objects, or relationships when possible.
- Do not output the internal thinking process. Only output the final formatted result.
</constraints>
<output_format>
Structure your response exactly as follows:
**Response**: [Realistic | Unrealistic | Doubtful]
**Why**: [Concise explanation of your reasoning. If Unrealistic, specify the exact objects, values or relationships that break realism.]
</output_format>
<examples>
Example 1:
Input:
<domain_model>
class Person
attributes
age: Integer
end
class Pet
attributes
name: String
end
association Ownership between
Person [1] role owner
Pet [*] role pets
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 250
!new Pet('pet1')
!pet1.name := 'Luna'
… 1.000 more pets creation …
!pet1000.name := 'Max'
!insert (p1, pet1) into Ownership
…1.000 more pets associated with p1 …
!insert (p1, pet1000) into Ownership
</object_model>
Output:
**Response**: Unrealistic
**Why**: The object 'p1' of class 'Person' has an age of 250, which exceeds the biologically plausible lifespan of a human. Although it is not plausible that 1 same person owns 1.000 pets.
Example 2:
Input:
<domain_model>
class Car
attributes
brand: String
end
class Person
attributes
name: String
end
association Ownership between
Person [1] role owner
Car [*] role cars
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 19
!new Car('c1')
!c1.brand := 'Toyota'
!insert (p1, c1) into Ownership
</object_model>
Output:
**Response**: Realistic
**Why**: The object 'c1' has a valid, recognized real-world car brand assigned, and its plausible that a teenager has only one car.
Example 3:
Input:
<domain_model>
class Component
attributes
setting_val: Integer
config_mode: String
end
</domain_model>
<object_model>
!new Component('c1')
!c1.setting_val := 8080
!c1.config_mode := 'Legacy'
</object_model>
Output:
**Response**: Doubtful
**Why**: The class 'Component' and attribute 'setting_val' are generic and lack specific real-world semantic context. Without knowing what specific physical or software system this represents, it is impossible to determine if '8080' is a realistic value or an outlier.
</examples> Analyze the following UML class diagram:
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) For the same category and model description, generate another instance that is structurally and semantically different from the previous ones Continue with the following description, creating the instance according to the syntax example and this specification:
### Instance Description:
In the vibrant and diverse football culture of West Africa, an intriguing match occurs involving two amateur clubs competing in a regional league. This instance explores challenges brought about by overreliance on a singular player's versatility and the logistical mismanagement within match scheduling rules.
**Clubs:**
1. **Club A**
- `name`: Savannah Lions FC
- `homeGround`: Lion's Roar Stadium, Accra
- `chairman`: Kwame Mensah
2. **Club B**
- `name`: Riverine Sharks FC
- `homeGround`: Shark Tank Arena, Lagos
- `chairman`: Funmi Adebayo
**Teams:**
- **Team A (Belonging to Savannah Lions FC)**
- `name`: Lion Cubs
- **Team B (Belonging to Riverine Sharks FC)**
- `name`: Sharklings
**Players:**
1. **Player 1** (Belonging to Lion Cubs)
- `name`: Kofi Aidoo
- `age`: 20
- `bestFoot`: LEFT
- `phoneNumber`: +233 201 123 456
- Positions:
- Midfielder
- Forward
2. **Player 2** (Belonging to Sharklings)
- `name`: Chika Okeke
- `age`: 23
- `bestFoot`: RIGHT
- `phoneNumber`: +234 701 678 910
- Positions:
- Defender
**Match**:
- **Date**: 12th February 2024
- **homeAway**: FALSE (Match considered an away game for both teams simultaneously, leading to logistic failures)
- Note: Unclear assignments and scheduling led to both teams playing under the assumption of being visitors.
**MatchReport**:
- `duration`: 90 minutes
- `scoreVisitor`: 1
- `scoreLocal`: 1
**MatchPlayer:**
- **Player 1 Performance**
- `booked`: FALSE
- `goals`: 1
- `rating`: 8
- **Player 2 Performance**
- `booked`: TRUE
- `goals`: 0
- `rating`: 6
**MatchEvent:**
1. **Event 1**
- `eventType`: GOAL
- `time`: 30
2. **Event 2**
- `eventType`: FOUL
- `time`: 60
**Competition:**
- **West African Amateur League**
- `name`: West African Amateur League Cup
- `type`: League
**MatchNote:**
- `note`: Heightened confusion ensued as both squads acted under the notion of away game protocols, impacting tactics.
- `date`: 13th February 2024
**TrainingSession:**
- **Date**: 16th February 2024
- **Location**: Lion's Roar Practice Field
- **Purpose**: Re-alignment of team strategies and communication protocols post-confusion.
**TrainingFailedToAttend:**
- **Reason**: Inconsistent fixture postings and misinformation led to absenteeism among key players.
**TrainingNotes:**
- **note**: Attendance mismatches led to adaptive training focused on improving team communication and scheduling acumen.
- **date**: 17th February 2024
### Constraint Violations Highlighted:
1. **Home and Away Misalignment**: Both teams assuming visitor status leads to operational confusion, violating logistical principles.
2. **Player Sparse Versatility**: Excessive reliance on Kofi Aidoo highlights the overly restrictive nature of positional multiplicity under resource constraints.
This instance highlights constraints related to inadequate communication workflows and flexibility in logistical setups, illustrating the need for robust systems that enable smoother operations and adaptability amid dynamic contingencies. The last output is partially incorrect:
temp.soil> !clubBD.name := 'Savannah Lions FC'
temp.soil> !clubBD.homeGround := "Lion's Roar Stadium, Accra"
<input>:line 1:6 mismatched input '.' expecting :=
temp.soil> !trainingSession49.date := '16th February 2024'
temp.soil> !trainingSession49.location := "Lion's Roar Practice Field"
<input>:line 1:17 mismatched input '.' expecting :=
Please provide the complete output corrected The last output is partially incorrect:
temp.soil> !clubBD.name := 'Savannah Lions FC'
temp.soil> !clubBD.homeGround := "Lion's Roar Stadium, Accra"
<input>:line 1:6 mismatched input '.' expecting :=
temp.soil> !trainingSession49.date := '16th February 2024'
temp.soil> !trainingSession49.location := "Lion's Roar Practice Field"
<input>:line 1:17 mismatched input '.' expecting :=
Please provide the complete output corrected <domain_model>
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal)
</domain_model>
<object_model>
!new Club('clubBD')
!clubBD.name := 'Savannah Lions FC'
!clubBD.homeGround := "Lion's Roar Stadium, Accra"
!clubBD.chairman := 'Kwame Mensah'
!new Club('clubBE')
!clubBE.name := 'Riverine Sharks FC'
!clubBE.homeGround := 'Shark Tank Arena, Lagos'
!clubBE.chairman := 'Funmi Adebayo'
!new Team('teamBD')
!teamBD.name := 'Lion Cubs'
!new Team('teamBE')
!teamBE.name := 'Sharklings'
!insert (clubBD, teamBD) into ClubTeam
!insert (clubBE, teamBE) into ClubTeam
!new Player('player63')
!player63.name := 'Kofi Aidoo'
!player63.age := 20
!player63.bestFoot := #LEFT
!player63.phoneNumber := '+233 201 123 456'
!new Player('player64')
!player64.name := 'Chika Okeke'
!player64.age := 23
!player64.bestFoot := #RIGHT
!player64.phoneNumber := '+234 701 678 910'
!insert (teamBD, player63) into TeamPlayer
!insert (teamBE, player64) into TeamPlayer
!new Position('position100')
!position100.positionName := #MIDFIELDER
!new Position('position109')
!position109.positionName := #FORWARD
!new Position('position106')
!position106.positionName := #DEFENDER
!insert (player63, position100) into PlayerPositions
!insert (player63, position109) into PlayerPositions
!insert (player64, position106) into PlayerPositions
!new Competition('competition25')
!competition25.name := 'West African Amateur League Cup'
!competition25.type := 'League'
!new Match('match32')
!match32.date := '12th February 2024'
!match32.homeAway := false
!insert (teamBD, match32) into VisitorMatch
!insert (teamBE, match32) into VisitorMatch
!insert (competition25, match32) into CompetitionMatch
!new MatchReport('matchReport32')
!matchReport32.duration := 90
!matchReport32.scoreVisitor := 1
!matchReport32.scoreLocal := 1
!insert (match32, matchReport32) into MatchMatchReport
!new MatchEvent('matchEvent92')
!matchEvent92.eventType := #GOAL
!matchEvent92.time := 30
!new MatchEvent('matchEvent93')
!matchEvent93.eventType := #FOUL
!matchEvent93.time := 60
!insert (match32, matchEvent92) into MatchMatchEvent
!insert (match32, matchEvent93) into MatchMatchEvent
!new MatchPlayer('matchPlayer58')
!matchPlayer58.booked := false
!matchPlayer58.goals := 1
!matchPlayer58.rating := 8
!new MatchPlayer('matchPlayer59')
!matchPlayer59.booked := true
!matchPlayer59.goals := 0
!matchPlayer59.rating := 6
!insert (player63, matchPlayer58) into PlayerMatch
!insert (player64, matchPlayer59) into PlayerMatch
!insert (match32, matchPlayer58) into MatchMatchPlayer
!insert (match32, matchPlayer59) into MatchMatchPlayer
!new MatchPlayerPosition('mpp58')
!mpp58.positionName := #FORWARD
!mpp58.number := 10
!new MatchPlayerPosition('mpp59')
!mpp59.positionName := #DEFENDER
!mpp59.number := 5
!insert (matchPlayer58, mpp58) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer59, mpp59) into MatchPlayerMatchPlayerPosition
!new MatchNote('matchNote21')
!matchNote21.note := 'Heightened confusion ensued as both squads acted under the notion of away game protocols, impacting tactics.'
!matchNote21.date := '13th February 2024'
!insert (match32, matchNote21) into MatchMatchNote
!new TrainingSession('trainingSession49')
!trainingSession49.date := '16th February 2024'
!trainingSession49.location := "Lion's Roar Practice Field"
!trainingSession49.purpose := 'Re-alignment of team strategies and communication protocols post-confusion.'
!insert (teamBD, trainingSession49) into TeamTraining
!new TrainingFailedToAttend('trainingFail21')
!trainingFail21.reason := 'Inconsistent fixture postings and misinformation led to absenteeism among key players.'
!insert (trainingFail21, player64) into FailedPlayer
!insert (trainingSession49, trainingFail21) into TrainingFailded
!new TrainingNotes('trainingNote49')
!trainingNote49.note := 'Attendance mismatches led to adaptive training focused on improving team communication and scheduling acumen.'
!trainingNote49.date := '17th February 2024'
!insert (trainingSession49, trainingNote49) into TrainingTrainingNotes
</object_model> LLM as a Judge
1. The match `match32` is associated with two visitor teams (`teamBD` and `teamBE`) and zero local teams, which is a logical contradiction. 2. The `matchReport32` records a total of 2 goals (scoreVisitor: 1, scoreLocal: 1), but there is only 1 `GOAL` event (`matchEvent92`) registered for the match. 3. `player64` plays for `teamBE`, but is registered as failing to attend `trainingSession49`, which is a training session for the competing team `teamBD`.
Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $0.80 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 1/94 |
| Multiplicities | 5/24 |
| Invariants | 1/4 |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 96.2% |
| String Equals | 100.0% |
| String LV | 85.9% |
| Shannon (Active) | 1.000 ± 0.000 |
| Shannon (All) | 0.618 ± 0.148 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 87.5% |
| Attributes | 83.8% |
| Relationships | 83.3% |
Uncovered Items 11
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 22/∞ |
| Attributes | 48/48 |
| Relationships | 24/∞ |