MyExpenses / gen2
Viewer
-- Creating instances of Currency
!new Currency('currency2')
!currency2.name := 'Euro'
!currency2.abbreviation := 'EUR'
-- Creating instances of Bills
!new Bill('bill4')
!bill4.amount := 150.00
!bill4.category := 'Travel'
!bill4.date := Date('2023-10-05')
!bill4.paymentMethod := #CREDIT_CARD
!bill4.status := #VALIDATED
!insert (bill4, currency2) into BillCurrency
!new Bill('bill5')
!bill5.amount := 50.00
!bill5.category := 'Hotel'
!bill5.date := Date('2023-10-06')
!bill5.paymentMethod := #CASH
!bill5.status := #REFUNDED
!insert (bill5, currency2) into BillCurrency
-- Creating instances of Comment
!new Comment('comment3')
!comment3.text := 'Travel expenses for business trip.'
-- Creating instance of Expense
!new Expense('expense2')
!expense2.amount := 200.00
!expense2.startDate := Date('2023-10-05')
!expense2.endDate := Date('2023-10-10')
!insert (expense2, bill4) into ExpenseContainsBills
!insert (expense2, bill5) into ExpenseContainsBills
!insert (expense2, comment3) into ExpenseComment model MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum() 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 MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum()
</domain_model>
<object_model>
-- Creating instances of Currency
!new Currency('currency2')
!currency2.name := 'Euro'
!currency2.abbreviation := 'EUR'
-- Creating instances of Bills
!new Bill('bill4')
!bill4.amount := 150.00
!bill4.category := 'Travel'
!bill4.date := Date('2023-10-05')
!bill4.paymentMethod := #CREDIT_CARD
!bill4.status := #VALIDATED
!insert (bill4, currency2) into BillCurrency
!new Bill('bill5')
!bill5.amount := 50.00
!bill5.category := 'Hotel'
!bill5.date := Date('2023-10-06')
!bill5.paymentMethod := #CASH
!bill5.status := #REFUNDED
!insert (bill5, currency2) into BillCurrency
-- Creating instances of Comment
!new Comment('comment3')
!comment3.text := 'Travel expenses for business trip.'
-- Creating instance of Expense
!new Expense('expense2')
!expense2.amount := 200.00
!expense2.startDate := Date('2023-10-05')
!expense2.endDate := Date('2023-10-10')
!insert (expense2, bill4) into ExpenseContainsBills
!insert (expense2, bill5) into ExpenseContainsBills
!insert (expense2, comment3) into ExpenseComment
</object_model> LLM as a Judge
The object model represents a completely plausible business trip expense report. The currency (Euro) is a real-world entity, the bill categories and amounts are reasonable, the dates align perfectly with the overall expense period, and the total amount mathematically matches the sum of the individual bills.
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 | $0.01 |
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 | 0/26 |
| Multiplicities | 0/5 |
| Invariants | 0/2 |
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 | 100.0% |
| String Equals | 100.0% |
| String LV | 91.2% |
| Shannon (Active) | 1.000 ± 0.000 |
| Shannon (All) | 0.509 ± 0.122 |
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 | 5/∞ |
| Attributes | 16/16 |
| Relationships | 5/∞ |
Viewer
!new Expense('businessConferenceExpense')
!businessConferenceExpense.amount := 2400.00
!businessConferenceExpense.startDate := Date('2023-09-05')
!businessConferenceExpense.endDate := Date('2023-09-10')
!new Bill('billFlightTicket')
!billFlightTicket.amount := 1500.00
!billFlightTicket.category := 'Flight Ticket'
!billFlightTicket.date := Date('2023-09-01')
!billFlightTicket.paymentMethod := #CREDIT_CARD
!billFlightTicket.status := #VALIDATED
!new Bill('billHotelStay')
!billHotelStay.amount := 500.00
!billHotelStay.category := 'Hotel Stay'
!billHotelStay.date := Date('2023-09-05')
!billHotelStay.paymentMethod := #CREDIT_CARD
!billHotelStay.status := #VERIFIED
!new Bill('billConferenceFee')
!billConferenceFee.amount := 300.00
!billConferenceFee.category := 'Conference Fee'
!billConferenceFee.date := Date('2023-09-05')
!billConferenceFee.paymentMethod := #CASH
!billConferenceFee.status := #REFUNDED
!new Bill('billLocalTransport')
!billLocalTransport.amount := 100.00
!billLocalTransport.category := 'Local Transport'
!billLocalTransport.date := Date('2023-09-09')
!billLocalTransport.paymentMethod := #CHECK
!billLocalTransport.status := #PENDING
!new Currency('currencyEuro')
!currencyEuro.name := 'Euro'
!currencyEuro.abbreviation := 'EUR'
!insert (billFlightTicket, currencyEuro) into BillCurrency
!insert (billHotelStay, currencyEuro) into BillCurrency
!insert (billConferenceFee, currencyEuro) into BillCurrency
!insert (billLocalTransport, currencyEuro) into BillCurrency
!insert (businessConferenceExpense, billFlightTicket) into ExpenseContainsBills
!insert (businessConferenceExpense, billHotelStay) into ExpenseContainsBills
!insert (businessConferenceExpense, billConferenceFee) into ExpenseContainsBills
!insert (businessConferenceExpense, billLocalTransport) into ExpenseContainsBills
!new Comment('commentFlight')
!commentFlight.text := 'Flight was on time and comfortable.'
!new Comment('commentHotel')
!commentHotel.text := 'Hotel amenities were excellent, highly recommended.'
!insert (businessConferenceExpense, commentFlight) into ExpenseComment
!insert (businessConferenceExpense, commentHotel) into ExpenseComment model MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum() 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 MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum() 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:
## Baseline Instance: Business Conference Travel Expense
### Expense
- **amount**: 2400.00
- **startDate**: "2023-09-05"
- **endDate**: "2023-09-10"
### Bills
1. **Bill 1**:
- **amount**: 1500.00
- **category**: "Flight Ticket"
- **date**: "2023-09-01"
- **paymentMethod**: CREDIT_CARD
- **status**: VALIDATED
- **currency**:
- **name**: "Euro"
- **abbreviation**: "EUR"
2. **Bill 2**:
- **amount**: 500.00
- **category**: "Hotel Stay"
- **date**: "2023-09-05"
- **paymentMethod**: CREDIT_CARD
- **status**: VERIFIED
- **currency**:
- **name**: "Euro"
- **abbreviation**: "EUR"
3. **Bill 3**:
- **amount**: 300.00
- **category**: "Conference Fee"
- **date**: "2023-09-05"
- **paymentMethod**: CASH
- **status**: REFUNDED
- **currency**:
- **name**: "Euro"
- **abbreviation**: "EUR"
4. **Bill 4**:
- **amount**: 100.00
- **category**: "Local Transport"
- **date**: "2023-09-09"
- **paymentMethod**: CHECK
- **status**: PENDING
- **currency**:
- **name**: "Euro"
- **abbreviation**: "EUR"
### Comments
- **Comment 1**:
- **text**: "Flight was on time and comfortable."
- **Comment 2**:
- **text**: "Hotel amenities were excellent, highly recommended."
This instance exemplifies a business travel expense, covering different categories like flight, accommodation, and fees, along with a structurally diverse setup with various statuses and payment methods. It uses the Euro as the currency and is accompanied by multiple user comments expressing satisfaction with services used during the conference travel. This scenario introduces cultural and regional elements by situating the expense in Europe. <domain_model>
model MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum()
</domain_model>
<object_model>
!new Expense('businessConferenceExpense')
!businessConferenceExpense.amount := 2400.00
!businessConferenceExpense.startDate := Date('2023-09-05')
!businessConferenceExpense.endDate := Date('2023-09-10')
!new Bill('billFlightTicket')
!billFlightTicket.amount := 1500.00
!billFlightTicket.category := 'Flight Ticket'
!billFlightTicket.date := Date('2023-09-01')
!billFlightTicket.paymentMethod := #CREDIT_CARD
!billFlightTicket.status := #VALIDATED
!new Bill('billHotelStay')
!billHotelStay.amount := 500.00
!billHotelStay.category := 'Hotel Stay'
!billHotelStay.date := Date('2023-09-05')
!billHotelStay.paymentMethod := #CREDIT_CARD
!billHotelStay.status := #VERIFIED
!new Bill('billConferenceFee')
!billConferenceFee.amount := 300.00
!billConferenceFee.category := 'Conference Fee'
!billConferenceFee.date := Date('2023-09-05')
!billConferenceFee.paymentMethod := #CASH
!billConferenceFee.status := #REFUNDED
!new Bill('billLocalTransport')
!billLocalTransport.amount := 100.00
!billLocalTransport.category := 'Local Transport'
!billLocalTransport.date := Date('2023-09-09')
!billLocalTransport.paymentMethod := #CHECK
!billLocalTransport.status := #PENDING
!new Currency('currencyEuro')
!currencyEuro.name := 'Euro'
!currencyEuro.abbreviation := 'EUR'
!insert (billFlightTicket, currencyEuro) into BillCurrency
!insert (billHotelStay, currencyEuro) into BillCurrency
!insert (billConferenceFee, currencyEuro) into BillCurrency
!insert (billLocalTransport, currencyEuro) into BillCurrency
!insert (businessConferenceExpense, billFlightTicket) into ExpenseContainsBills
!insert (businessConferenceExpense, billHotelStay) into ExpenseContainsBills
!insert (businessConferenceExpense, billConferenceFee) into ExpenseContainsBills
!insert (businessConferenceExpense, billLocalTransport) into ExpenseContainsBills
!new Comment('commentFlight')
!commentFlight.text := 'Flight was on time and comfortable.'
!new Comment('commentHotel')
!commentHotel.text := 'Hotel amenities were excellent, highly recommended.'
!insert (businessConferenceExpense, commentFlight) into ExpenseComment
!insert (businessConferenceExpense, commentHotel) into ExpenseComment
</object_model> LLM as a Judge
The object model represents a highly plausible business trip expense report. The dates logically align (the flight is booked prior to the trip start date, while the hotel and transport are during the trip), standard categories and a real-world currency (EUR) are used, and the total expense amount (2400.00) perfectly matches the sum of the individual bills, satisfying the domain constraints.
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 | $0.03 |
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 | 0/45 |
| Multiplicities | 0/10 |
| Invariants | 0/2 |
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 | 100.0% |
| String Equals | 100.0% |
| String LV | 89.3% |
| Shannon (Active) | 0.973 ± 0.027 |
| Shannon (All) | 0.860 ± 0.086 |
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 | 8/∞ |
| Attributes | 27/27 |
| Relationships | 10/∞ |
Viewer
!new Expense('boundaryCaseExpense')
!boundaryCaseExpense.amount := 0.00
!boundaryCaseExpense.startDate := Date('2023-01-01')
!boundaryCaseExpense.endDate := Date('2023-01-31')
!new Bill('cancelledSubscriptionBill')
!cancelledSubscriptionBill.amount := 0.00
!cancelledSubscriptionBill.category := 'Cancelled Subscription'
!cancelledSubscriptionBill.date := Date('2023-01-15')
!cancelledSubscriptionBill.paymentMethod := #CREDIT_CARD
!cancelledSubscriptionBill.status := #REFUSED
!new Currency('currencyJPY')
!currencyJPY.name := 'Japanese Yen'
!currencyJPY.abbreviation := 'JPY'
!insert (cancelledSubscriptionBill, currencyJPY) into BillCurrency
!insert (boundaryCaseExpense, cancelledSubscriptionBill) into ExpenseContainsBills
!new Comment('cancellationComment')
!cancellationComment.text := 'This expense was canceled and had no cost.'
!insert (boundaryCaseExpense, cancellationComment) into ExpenseComment model MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum() 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 MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum() 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:
## Boundary Case Instance: MyExpenses
### Expense Details
- **Expense**:
- **amount**: 0.00
- **startDate**: "2023-01-01"
- **endDate**: "2023-01-31"
### Bills Contained in Expense
#### Bill 1 (Zero Amount Boundary Test and Single Bill with Refused Status)
- **Bill**:
- **amount**: 0.00
- **category**: "Cancelled Subscription"
- **date**: "2023-01-15"
- **paymentMethod**: CREDIT_CARD
- **status**: REFUSED
- **Currency**:
- **name**: "Japanese Yen"
- **abbreviation**: "JPY"
### Comments on the Expense
- **Comments**:
- **Comment 1**:
- **text**: "This expense was canceled and had no cost."
### Explanation
- The **Expense** amount is at its minimum boundary of 0.00, demonstrating that the system can handle expenses with no actual cost.
- There is only one **Bill** associated with this **Expense**. The bill amount is also at the boundary of 0.00, reflecting a situation like a subscription that was canceled before incurring any cost.
- The bill is categorized as "Cancelled Subscription" and has a status of REFUSED, emphasizing the boundary condition of a bill that does not proceed to payment.
- Utilizing the **Japanese Yen** (JPY) highlights the system's ability to manage different currencies and reflects a regional variety.
- One **Comment** provides an explanation for the expense's nature, ensuring the `ExpenseComment` association is used while still maintaining the absence of monetary expense.
- The date range from "2023-01-01" to "2023-01-31" matches the typical comment period, even though the monetary amount rests at zero.
This instance showcases both the ability to handle bills and expenses that are financially neutral while incorporating linguistic and regional diversity through the use of Japanese Yen. <domain_model>
model MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum()
</domain_model>
<object_model>
!new Expense('boundaryCaseExpense')
!boundaryCaseExpense.amount := 0.00
!boundaryCaseExpense.startDate := Date('2023-01-01')
!boundaryCaseExpense.endDate := Date('2023-01-31')
!new Bill('cancelledSubscriptionBill')
!cancelledSubscriptionBill.amount := 0.00
!cancelledSubscriptionBill.category := 'Cancelled Subscription'
!cancelledSubscriptionBill.date := Date('2023-01-15')
!cancelledSubscriptionBill.paymentMethod := #CREDIT_CARD
!cancelledSubscriptionBill.status := #REFUSED
!new Currency('currencyJPY')
!currencyJPY.name := 'Japanese Yen'
!currencyJPY.abbreviation := 'JPY'
!insert (cancelledSubscriptionBill, currencyJPY) into BillCurrency
!insert (boundaryCaseExpense, cancelledSubscriptionBill) into ExpenseContainsBills
!new Comment('cancellationComment')
!cancellationComment.text := 'This expense was canceled and had no cost.'
!insert (boundaryCaseExpense, cancellationComment) into ExpenseComment
</object_model> LLM as a Judge
The object model portrays a completely logical scenario of a cancelled subscription incurring a 0.00 cost, with a refused bill and a matching 0.00 total expense. The currency (JPY) and comment perfectly provide context, and all domain rules and real-world accounting practices for voiding/canceling transactions are respected.
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 | $0.04 |
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 | 0/18 |
| Multiplicities | 0/3 |
| Invariants | 0/2 |
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 | 0.0% |
| String Equals | 100.0% |
| String LV | 88.2% |
| Shannon (Active) | 0.000 ± 0.000 |
| Shannon (All) | 0.000 ± 0.000 |
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 | 4/∞ |
| Attributes | 11/11 |
| Relationships | 3/∞ |
Viewer
!new Expense('familyVacationExpense')
!familyVacationExpense.amount := 3850.00
!familyVacationExpense.startDate := Date('2023-11-01')
!familyVacationExpense.endDate := Date('2023-11-15')
!new Bill('airfareBill')
!airfareBill.amount := 2000.00
!airfareBill.category := 'Airfare'
!airfareBill.date := Date('2023-10-20')
!airfareBill.paymentMethod := #CREDIT_CARD
!airfareBill.status := #REFUNDED
!new Bill('hotelAccommodationBill')
!hotelAccommodationBill.amount := 600.00
!hotelAccommodationBill.category := 'Hotel Accommodation'
!hotelAccommodationBill.date := Date('2023-11-01')
!hotelAccommodationBill.paymentMethod := #CASH
!hotelAccommodationBill.status := #VERIFIED
!new Bill('toursActivitiesBill')
!toursActivitiesBill.amount := 450.00
!toursActivitiesBill.category := 'Tours and Activities'
!toursActivitiesBill.date := Date('2023-11-05')
!toursActivitiesBill.paymentMethod := #CREDIT_CARD
!toursActivitiesBill.status := #VALIDATED
!new Bill('diningBill')
!diningBill.amount := 300.00
!diningBill.category := 'Dining'
!diningBill.date := Date('2023-11-10')
!diningBill.paymentMethod := #CHECK
!diningBill.status := #VERIFIED
!new Bill('giftsSouvenirsBill')
!giftsSouvenirsBill.amount := 500.00
!giftsSouvenirsBill.category := 'Gifts and Souvenirs'
!giftsSouvenirsBill.date := Date('2023-11-12')
!giftsSouvenirsBill.paymentMethod := #CREDIT_CARD
!giftsSouvenirsBill.status := #PENDING
!new Currency('currencyJPY')
!currencyJPY.name := 'Japanese Yen'
!currencyJPY.abbreviation := 'JPY'
!insert (airfareBill, currencyJPY) into BillCurrency
!insert (hotelAccommodationBill, currencyJPY) into BillCurrency
!insert (toursActivitiesBill, currencyJPY) into BillCurrency
!insert (diningBill, currencyJPY) into BillCurrency
!insert (giftsSouvenirsBill, currencyJPY) into BillCurrency
!insert (familyVacationExpense, airfareBill) into ExpenseContainsBills
!insert (familyVacationExpense, hotelAccommodationBill) into ExpenseContainsBills
!insert (familyVacationExpense, toursActivitiesBill) into ExpenseContainsBills
!insert (familyVacationExpense, diningBill) into ExpenseContainsBills
!insert (familyVacationExpense, giftsSouvenirsBill) into ExpenseContainsBills
!new Comment('familyVacationComment1')
!familyVacationComment1.text := 'Annual family vacation to Japan, including cultural tours and leisure activities.'
!new Comment('familyVacationComment2')
!familyVacationComment2.text := 'Activities included visiting historical sites and tasting local cuisine. A memorable and enriching experience for all.'
!insert (familyVacationExpense, familyVacationComment1) into ExpenseComment
!insert (familyVacationExpense, familyVacationComment2) into ExpenseComment model MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum() 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 MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum() 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:
### Complex Instance: Family Vacation Expenses
#### Expense Instance
- **Expense ID**: E002
- **amount**: 3850.00 (This is the sum of all associated bills.)
- **startDate**: "2023-11-01"
- **endDate**: "2023-11-15"
- **Comments**:
- (Comment 1)
- **text**: "Annual family vacation to Japan, including cultural tours and leisure activities."
- (Comment 2)
- **text**: "Activities included visiting historical sites and tasting local cuisine. A memorable and enriching experience for all."
#### Bill Instances (Related to Expense E002)
1. **Bill ID**: B005
- **amount**: 2000.00
- **category**: "Airfare"
- **date**: "2023-10-20"
- **paymentMethod**: CREDIT_CARD
- **status**: REFUNDED
- **Currency**:
- **name**: "Japanese Yen"
- **abbreviation**: "JPY"
2. **Bill ID**: B006
- **amount**: 600.00
- **category**: "Hotel Accommodation"
- **date**: "2023-11-01"
- **paymentMethod**: CASH
- **status**: VERIFIED
- **Currency**:
- **name**: "Japanese Yen"
- **abbreviation**: "JPY"
3. **Bill ID**: B007
- **amount**: 450.00
- **category**: "Tours and Activities"
- **date**: "2023-11-05"
- **paymentMethod**: CREDIT_CARD
- **status**: VALIDATED
- **Currency**:
- **name**: "Japanese Yen"
- **abbreviation**: "JPY"
4. **Bill ID**: B008
- **amount**: 300.00
- **category**: "Dining"
- **date**: "2023-11-10"
- **paymentMethod**: CHECK
- **status**: VERIFIED
- **Currency**:
- **name**: "Japanese Yen"
- **abbreviation**: "JPY"
5. **Bill ID**: B009
- **amount**: 500.00
- **category**: "Gifts and Souvenirs"
- **date**: "2023-11-12"
- **paymentMethod**: CREDIT_CARD
- **status**: PENDING
- **Currency**:
- **name**: "Japanese Yen"
- **abbreviation**: "JPY"
#### Details and Relationships
- **ExpenseContainsBills**: The expense E002 encompasses five bills (B005, B006, B007, B008, B009), providing a comprehensive view of different aspects of vacation spending.
- **ExpenseComment**: The comments associated with expense E002 reflect the cultural and recreational aspects of the trip, emphasizing its value beyond monetary expenditure.
- **BillCurrency**: All bills are associated with the same currency, "Japanese Yen (JPY)", indicating the expenses incurred in a single country, Japan.
In this instance, the invariants are upheld as follows:
- **Expense inv positiveAmount**: All amounts are positive, showcasing legitimate expenses.
- **Expense inv expenseSumOfBills**: The total expense amount (3850.00) aligns with the sum of all associated bill amounts (2000.00 + 600.00 + 450.00 + 300.00 + 500.00 = 3850.00).
This instance diversifies the model by focusing on a family-oriented vacation scenario with a single currency, multiple categories of expenses, and a wide range of payment methods and bill statuses. <domain_model>
model MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum()
</domain_model>
<object_model>
!new Expense('familyVacationExpense')
!familyVacationExpense.amount := 3850.00
!familyVacationExpense.startDate := Date('2023-11-01')
!familyVacationExpense.endDate := Date('2023-11-15')
!new Bill('airfareBill')
!airfareBill.amount := 2000.00
!airfareBill.category := 'Airfare'
!airfareBill.date := Date('2023-10-20')
!airfareBill.paymentMethod := #CREDIT_CARD
!airfareBill.status := #REFUNDED
!new Bill('hotelAccommodationBill')
!hotelAccommodationBill.amount := 600.00
!hotelAccommodationBill.category := 'Hotel Accommodation'
!hotelAccommodationBill.date := Date('2023-11-01')
!hotelAccommodationBill.paymentMethod := #CASH
!hotelAccommodationBill.status := #VERIFIED
!new Bill('toursActivitiesBill')
!toursActivitiesBill.amount := 450.00
!toursActivitiesBill.category := 'Tours and Activities'
!toursActivitiesBill.date := Date('2023-11-05')
!toursActivitiesBill.paymentMethod := #CREDIT_CARD
!toursActivitiesBill.status := #VALIDATED
!new Bill('diningBill')
!diningBill.amount := 300.00
!diningBill.category := 'Dining'
!diningBill.date := Date('2023-11-10')
!diningBill.paymentMethod := #CHECK
!diningBill.status := #VERIFIED
!new Bill('giftsSouvenirsBill')
!giftsSouvenirsBill.amount := 500.00
!giftsSouvenirsBill.category := 'Gifts and Souvenirs'
!giftsSouvenirsBill.date := Date('2023-11-12')
!giftsSouvenirsBill.paymentMethod := #CREDIT_CARD
!giftsSouvenirsBill.status := #PENDING
!new Currency('currencyJPY')
!currencyJPY.name := 'Japanese Yen'
!currencyJPY.abbreviation := 'JPY'
!insert (airfareBill, currencyJPY) into BillCurrency
!insert (hotelAccommodationBill, currencyJPY) into BillCurrency
!insert (toursActivitiesBill, currencyJPY) into BillCurrency
!insert (diningBill, currencyJPY) into BillCurrency
!insert (giftsSouvenirsBill, currencyJPY) into BillCurrency
!insert (familyVacationExpense, airfareBill) into ExpenseContainsBills
!insert (familyVacationExpense, hotelAccommodationBill) into ExpenseContainsBills
!insert (familyVacationExpense, toursActivitiesBill) into ExpenseContainsBills
!insert (familyVacationExpense, diningBill) into ExpenseContainsBills
!insert (familyVacationExpense, giftsSouvenirsBill) into ExpenseContainsBills
!new Comment('familyVacationComment1')
!familyVacationComment1.text := 'Annual family vacation to Japan, including cultural tours and leisure activities.'
!new Comment('familyVacationComment2')
!familyVacationComment2.text := 'Activities included visiting historical sites and tasting local cuisine. A memorable and enriching experience for all.'
!insert (familyVacationExpense, familyVacationComment1) into ExpenseComment
!insert (familyVacationExpense, familyVacationComment2) into ExpenseComment
</object_model> LLM as a Judge
The amounts assigned to the bills (e.g., 2000.00 for 'airfareBill', 600.00 for 'hotelAccommodationBill') are practically impossible when associated with the Japanese Yen (JPY) currency. 2000 JPY is roughly equivalent to 13-15 USD, which cannot realistically cover the cost of family airfare or hotel accommodation. The numerical values match a USD/EUR context but contradict the explicitly linked currency.
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 | 0/53 |
| Multiplicities | 0/12 |
| Invariants | 0/2 |
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 | 100.0% |
| String Equals | 100.0% |
| String LV | 89.1% |
| Shannon (Active) | 0.913 ± 0.048 |
| Shannon (All) | 0.804 ± 0.061 |
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 | 9/∞ |
| Attributes | 32/32 |
| Relationships | 12/∞ |
Viewer
!new Expense('emergencyReliefFund')
!emergencyReliefFund.amount := 50500.00
!emergencyReliefFund.startDate := Date('2023-11-01')
!emergencyReliefFund.endDate := Date('2023-11-03')
!new Bill('medicalSuppliesBill')
!medicalSuppliesBill.amount := 15000.00
!medicalSuppliesBill.category := 'Medical Supplies'
!medicalSuppliesBill.date := Date('2023-11-01')
!medicalSuppliesBill.paymentMethod := #CASH
!medicalSuppliesBill.status := #VALIDATED
!new Bill('temporarySheltersBill')
!temporarySheltersBill.amount := 17000.00
!temporarySheltersBill.category := 'Temporary Shelters'
!temporarySheltersBill.date := Date('2023-11-02')
!temporarySheltersBill.paymentMethod := #CHECK
!temporarySheltersBill.status := #REFUSED
!new Bill('foodDistributionBill')
!foodDistributionBill.amount := 18500.00
!foodDistributionBill.category := 'Food Distribution'
!foodDistributionBill.date := Date('2023-11-03')
!foodDistributionBill.paymentMethod := #CREDIT_CARD
!foodDistributionBill.status := #VERIFIED
!new Currency('currencyJPY')
!currencyJPY.name := 'Japanese Yen'
!currencyJPY.abbreviation := 'JPY'
!new Currency('currencyINR')
!currencyINR.name := 'Indian Rupee'
!currencyINR.abbreviation := 'INR'
!new Currency('currencyCAD')
!currencyCAD.name := 'Canadian Dollar'
!currencyCAD.abbreviation := 'CAD'
!insert (medicalSuppliesBill, currencyJPY) into BillCurrency
!insert (temporarySheltersBill, currencyINR) into BillCurrency
!insert (foodDistributionBill, currencyCAD) into BillCurrency
!insert (emergencyReliefFund, medicalSuppliesBill) into ExpenseContainsBills
!insert (emergencyReliefFund, temporarySheltersBill) into ExpenseContainsBills
!insert (emergencyReliefFund, foodDistributionBill) into ExpenseContainsBills
!new Comment('emergencyComment1')
!emergencyComment1.text := 'Immediate allocation for medical supplies ensured prompt delivery amidst crisis.'
!new Comment('emergencyComment2')
!emergencyComment2.text := 'Shelter invoices require further verification due to discrepancies in the provided infrastructure.'
!new Comment('emergencyComment3')
!emergencyComment3.text := 'Implemented rapid credit transactions to facilitate expedited food distribution to affected areas.'
!insert (emergencyReliefFund, emergencyComment1) into ExpenseComment
!insert (emergencyReliefFund, emergencyComment2) into ExpenseComment
!insert (emergencyReliefFund, emergencyComment3) into ExpenseComment model MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum() 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 MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum() 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 Case Instance: Emergency Relief Fund Allocation
### Description
This edge instance, "Emergency Relief Fund Allocation," depicts a rare and urgent scenario where a non-profit organization manages a sudden and substantial expense related to an emergency relief fund. The case involves multiple bills with diverse statuses and a mix of payment methods within a short timeframe. It also includes detailed commentary around the exceptional circumstances and the rapid deployment of funds across multiple currencies.
### Components
- **Expense**:
- **amount**: 50500.00
- **startDate**: "2023-11-01"
- **endDate**: "2023-11-03"
- **Bills**:
- **Bill 1**:
- **amount**: 15000.00
- **category**: "Medical Supplies"
- **date**: "2023-11-01"
- **paymentMethod**: CASH
- **status**: VALIDATED
- **Bill 2**:
- **amount**: 17000.00
- **category**: "Temporary Shelters"
- **date**: "2023-11-02"
- **paymentMethod**: CHECK
- **status**: REFUSED
- **Bill 3**:
- **amount**: 18500.00
- **category**: "Food Distribution"
- **date**: "2023-11-03"
- **paymentMethod**: CREDIT_CARD
- **status**: VERIFIED
- **Currency**:
- **Bill 1** uses Currency:
- **name**: "Japanese Yen"
- **abbreviation**: "JPY"
- **Bill 2** uses Currency:
- **name**: "Indian Rupee"
- **abbreviation**: "INR"
- **Bill 3** uses Currency:
- **name**: "Canadian Dollar"
- **abbreviation**: "CAD"
- **Comments**:
- **Comment 1**:
- **text**: "Immediate allocation for medical supplies ensured prompt delivery amidst crisis."
- **Comment 2**:
- **text**: "Shelter invoices require further verification due to discrepancies in the provided infrastructure."
- **Comment 3**:
- **text**: "Implemented rapid credit transactions to facilitate expedited food distribution to affected areas."
### Explanation
- The **Expense** captures an emergency relief response, highlighting urgency and strategic deployment of funds.
- The **Bills** reflect a high-stakes environment with rapid financial outlays, including variation in currency usage linking to respective countries' urgent spending needs, underscoring the immediate global engagement.
- Diverse **Statuses** (VALIDATED, REFUSED, VERIFIED) demonstrate real-time decision making and procedural challenges in resource dispatch.
- Varied **PaymentMethods** (CASH, CHECK, CREDIT_CARD) illustrate flexible funding mechanisms under crisis conditions.
- **Comments** provide insights into the logistical and administrative hurdles encountered during emergency operations, underscoring the need for agility.
This instance represents an anomalous yet plausible situation of managing expenses under an emergency framework in the "MyExpenses" model, emphasizing diverse components and commentary that aid in understanding the complexities of such scenarios. <domain_model>
model MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum()
</domain_model>
<object_model>
!new Expense('emergencyReliefFund')
!emergencyReliefFund.amount := 50500.00
!emergencyReliefFund.startDate := Date('2023-11-01')
!emergencyReliefFund.endDate := Date('2023-11-03')
!new Bill('medicalSuppliesBill')
!medicalSuppliesBill.amount := 15000.00
!medicalSuppliesBill.category := 'Medical Supplies'
!medicalSuppliesBill.date := Date('2023-11-01')
!medicalSuppliesBill.paymentMethod := #CASH
!medicalSuppliesBill.status := #VALIDATED
!new Bill('temporarySheltersBill')
!temporarySheltersBill.amount := 17000.00
!temporarySheltersBill.category := 'Temporary Shelters'
!temporarySheltersBill.date := Date('2023-11-02')
!temporarySheltersBill.paymentMethod := #CHECK
!temporarySheltersBill.status := #REFUSED
!new Bill('foodDistributionBill')
!foodDistributionBill.amount := 18500.00
!foodDistributionBill.category := 'Food Distribution'
!foodDistributionBill.date := Date('2023-11-03')
!foodDistributionBill.paymentMethod := #CREDIT_CARD
!foodDistributionBill.status := #VERIFIED
!new Currency('currencyJPY')
!currencyJPY.name := 'Japanese Yen'
!currencyJPY.abbreviation := 'JPY'
!new Currency('currencyINR')
!currencyINR.name := 'Indian Rupee'
!currencyINR.abbreviation := 'INR'
!new Currency('currencyCAD')
!currencyCAD.name := 'Canadian Dollar'
!currencyCAD.abbreviation := 'CAD'
!insert (medicalSuppliesBill, currencyJPY) into BillCurrency
!insert (temporarySheltersBill, currencyINR) into BillCurrency
!insert (foodDistributionBill, currencyCAD) into BillCurrency
!insert (emergencyReliefFund, medicalSuppliesBill) into ExpenseContainsBills
!insert (emergencyReliefFund, temporarySheltersBill) into ExpenseContainsBills
!insert (emergencyReliefFund, foodDistributionBill) into ExpenseContainsBills
!new Comment('emergencyComment1')
!emergencyComment1.text := 'Immediate allocation for medical supplies ensured prompt delivery amidst crisis.'
!new Comment('emergencyComment2')
!emergencyComment2.text := 'Shelter invoices require further verification due to discrepancies in the provided infrastructure.'
!new Comment('emergencyComment3')
!emergencyComment3.text := 'Implemented rapid credit transactions to facilitate expedited food distribution to affected areas.'
!insert (emergencyReliefFund, emergencyComment1) into ExpenseComment
!insert (emergencyReliefFund, emergencyComment2) into ExpenseComment
!insert (emergencyReliefFund, emergencyComment3) into ExpenseComment
</object_model> LLM as a Judge
The object model calculates the total `emergencyReliefFund` expense amount (50500.00) by directly summing the raw numerical amounts of bills that are in completely different currencies (15000 JPY, 17000 INR, 18500 CAD). In reality, adding monetary values of different currencies without applying exchange rates is mathematically and financially nonsensical.
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 | $0.06 |
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 | 0/46 |
| Multiplicities | 0/9 |
| Invariants | 0/2 |
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 | 100.0% |
| String Equals | 100.0% |
| String LV | 90.3% |
| Shannon (Active) | 1.000 ± 0.000 |
| Shannon (All) | 0.807 ± 0.193 |
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 | 10/∞ |
| Attributes | 27/27 |
| Relationships | 9/∞ |
Viewer
!new Expense('techConferenceExpense')
!techConferenceExpense.amount := 2500.00
!techConferenceExpense.startDate := Date('2024-08-10')
!techConferenceExpense.endDate := Date('2024-08-15')
!new Bill('flightTicketBill')
!flightTicketBill.amount := 900.00
!flightTicketBill.category := 'Round Trip Flight Ticket'
!flightTicketBill.date := Date('2024-08-05')
!flightTicketBill.paymentMethod := #CREDIT_CARD
!flightTicketBill.status := #VERIFIED
!new Bill('hotelStayBill')
!hotelStayBill.amount := 500.00
!hotelStayBill.category := 'Hotel Accommodation'
!hotelStayBill.date := Date('2024-08-12')
!hotelStayBill.paymentMethod := #CHECK
!hotelStayBill.status := #PENDING
!new Bill('conferenceFeeBill')
!conferenceFeeBill.amount := 1100.00
!conferenceFeeBill.category := 'Conference Registration Fee'
!conferenceFeeBill.date := Date('2024-07-15')
!conferenceFeeBill.paymentMethod := #CASH
!conferenceFeeBill.status := #VALIDATED
!new Currency('currencyUSD')
!currencyUSD.name := 'United States Dollar'
!currencyUSD.abbreviation := 'USD'
!new Currency('currencyJPY')
!currencyJPY.name := 'Japanese Yen'
!currencyJPY.abbreviation := 'JPY'
!insert (flightTicketBill, currencyUSD) into BillCurrency
!insert (hotelStayBill, currencyJPY) into BillCurrency
!insert (conferenceFeeBill, currencyJPY) into BillCurrency
!insert (techConferenceExpense, flightTicketBill) into ExpenseContainsBills
!insert (techConferenceExpense, hotelStayBill) into ExpenseContainsBills
!insert (techConferenceExpense, conferenceFeeBill) into ExpenseContainsBills
!new Comment('networkingAdvice')
!networkingAdvice.text := 'Remember to exchange business cards after each session.'
!new Comment('budgetNote')
!budgetNote.text := 'Collaborate with fellow attendees to split accommodation costs.'
!insert (techConferenceExpense, networkingAdvice) into ExpenseComment
!insert (techConferenceExpense, budgetNote) into ExpenseComment model MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum() 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 MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum() 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: TechConferenceExpense
### Description:
Lisa is heading to a tech conference in Tokyo, Japan, aiming to expand her professional network. During the trip, she records her expenses but encounters an overconstraint in the model's design regarding currency usage.
### Entities:
- **Expense (TechConferenceExpense)**
- **amount**: 2500.00
- **startDate**: "2024-08-10"
- **endDate**: "2024-08-15"
- **Bill (FlightTicketBill)**
- **amount**: 900.00
- **category**: "Round Trip Flight Ticket"
- **date**: "2024-08-05"
- **paymentMethod**: CREDIT_CARD
- **status**: VERIFIED
- **Currency (USD)**
- **name**: "United States Dollar"
- **abbreviation**: "USD"
- **Bill (HotelStayBill)**
- **amount**: 500.00
- **category**: "Hotel Accommodation"
- **date**: "2024-08-12"
- **paymentMethod**: CHECK
- **status**: PENDING
- **Currency (JPY)**
- **name**: "Japanese Yen"
- **abbreviation**: "JPY"
- **Bill (ConferenceFeeBill)**
- **amount**: 1100.00
- **category**: "Conference Registration Fee"
- **date**: "2024-07-15"
- **paymentMethod**: CASH
- **status**: VALIDATED
- **Currency (JPY)**
- **name**: "Japanese Yen"
- **abbreviation**: "JPY"
- **Comment (NetworkingAdvice)**
- **text**: "Remember to exchange business cards after each session."
- **Comment (BudgetNote)**
- **text**: "Collaborate with fellow attendees to split accommodation costs."
### Relationships and Overconstraint Detection:
1. **ExpenseContainsBills**
- `TechConferenceExpense` comprises three bills: `FlightTicketBill`, `HotelStayBill`, and `ConferenceFeeBill`.
- **Violation**: The total of `FlightTicketBill` (in USD) and both JPY-based bills does not equate numerically with `TechConferenceExpense`’s declared amount due to the cross-currency match needing different aggregation interpretation. This highlights a gap in handling expenses across multiple currencies without integrated conversion considerations.
2. **BillCurrency**
- Three different currency associations are evident but logical differences highlight that manual currency conversion outside model controls might be applied erroneously, practically complicating `TechConferenceExpense` accuracy.
3. **ExpenseComment**
- `TechConferenceExpense` includes several comments for different facets of the trip, offering personal advice: `NetworkingAdvice` and `BudgetNote`.
4. **Invariant Violation**
- The instance sheds light on challenging full-scale representation when tracking naturally dynamic multi-currency expenses under a strictly summative approach, urging revisions like currency conversion mechanisms or diversified rate reference systems.
This instance conceptually underlines the necessity to accommodate real-world dynamics in expense management, especially within international contexts where the direct sum-rule is impractical without cohesive currency adaptation solutions. <domain_model>
model MyExpenses
dataType Date
operations
Date(date : String)
end
enum PaymentMethod {
CREDIT_CARD,
CHECK,
CASH
}
enum BillStatus {
DRAFT,
PENDING,
VERIFIED,
VALIDATED,
REFUSED,
REFUNDED
}
class Expense
attributes
amount : Real
startDate : Date
endDate : Date
end
class Bill
attributes
amount : Real
category : String
date : Date
paymentMethod : PaymentMethod
status : BillStatus
end
class Comment
attributes
text : String
end
class Currency
attributes
name : String
abbreviation : String
end
composition ExpenseContainsBills between
Expense [1]
Bill [*] role bills
end
association ExpenseComment between
Expense [1]
Comment [*] role comments
end
association BillCurrency between
Bill [1..*]
Currency [1] role currency
end
constraints
context Expense inv positiveAmount:
self.amount >= 0
context Expense inv expenseSumOfBills:
self.amount = self.bills->collect(b : Bill | b.amount)->sum()
</domain_model>
<object_model>
!new Expense('techConferenceExpense')
!techConferenceExpense.amount := 2500.00
!techConferenceExpense.startDate := Date('2024-08-10')
!techConferenceExpense.endDate := Date('2024-08-15')
!new Bill('flightTicketBill')
!flightTicketBill.amount := 900.00
!flightTicketBill.category := 'Round Trip Flight Ticket'
!flightTicketBill.date := Date('2024-08-05')
!flightTicketBill.paymentMethod := #CREDIT_CARD
!flightTicketBill.status := #VERIFIED
!new Bill('hotelStayBill')
!hotelStayBill.amount := 500.00
!hotelStayBill.category := 'Hotel Accommodation'
!hotelStayBill.date := Date('2024-08-12')
!hotelStayBill.paymentMethod := #CHECK
!hotelStayBill.status := #PENDING
!new Bill('conferenceFeeBill')
!conferenceFeeBill.amount := 1100.00
!conferenceFeeBill.category := 'Conference Registration Fee'
!conferenceFeeBill.date := Date('2024-07-15')
!conferenceFeeBill.paymentMethod := #CASH
!conferenceFeeBill.status := #VALIDATED
!new Currency('currencyUSD')
!currencyUSD.name := 'United States Dollar'
!currencyUSD.abbreviation := 'USD'
!new Currency('currencyJPY')
!currencyJPY.name := 'Japanese Yen'
!currencyJPY.abbreviation := 'JPY'
!insert (flightTicketBill, currencyUSD) into BillCurrency
!insert (hotelStayBill, currencyJPY) into BillCurrency
!insert (conferenceFeeBill, currencyJPY) into BillCurrency
!insert (techConferenceExpense, flightTicketBill) into ExpenseContainsBills
!insert (techConferenceExpense, hotelStayBill) into ExpenseContainsBills
!insert (techConferenceExpense, conferenceFeeBill) into ExpenseContainsBills
!new Comment('networkingAdvice')
!networkingAdvice.text := 'Remember to exchange business cards after each session.'
!new Comment('budgetNote')
!budgetNote.text := 'Collaborate with fellow attendees to split accommodation costs.'
!insert (techConferenceExpense, networkingAdvice) into ExpenseComment
!insert (techConferenceExpense, budgetNote) into ExpenseComment
</object_model> LLM as a Judge
The amounts assigned to 'hotelStayBill' (500) and 'conferenceFeeBill' (1100) are mapped to Japanese Yen (JPY). In the real world, 500 JPY (~$3.50 USD) for a hotel stay and 1100 JPY (~$7.00 USD) for a conference fee are impossibly low. Furthermore, summing mixed currencies directly (900 USD + 500 JPY + 1100 JPY = 2500) without exchange rate conversions is financially nonsensical.
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 | 0/40 |
| Multiplicities | 0/8 |
| Invariants | 0/2 |
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 | 100.0% |
| String Equals | 100.0% |
| String LV | 88.9% |
| Shannon (Active) | 1.000 ± 0.000 |
| Shannon (All) | 0.807 ± 0.193 |
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 | 8/∞ |
| Attributes | 24/24 |
| Relationships | 8/∞ |