MyExpenses / gen6
Viewer
-- Creating instances of Currency
!new Currency('currency6')
!currency6.name := 'Australian Dollar'
!currency6.abbreviation := 'AUD'
-- Creating instances of Bills
!new Bill('bill14')
!bill14.amount := 200.00
!bill14.category := 'IT Services'
!bill14.date := Date('2023-11-01')
!bill14.paymentMethod := #CHECK
!bill14.status := #PENDING
!insert (bill14, currency6) into BillCurrency
!new Bill('bill15')
!bill15.amount := 100.00
!bill15.category := 'Internet Charges'
!bill15.date := Date('2023-11-02')
!bill15.paymentMethod := #CREDIT_CARD
!bill15.status := #DRAFT
!insert (bill15, currency6) into BillCurrency
-- Creating instances of Comment
!new Comment('comment9')
!comment9.text := 'Expenses for business IT upgrades.'
-- Creating instance of Expense
!new Expense('expense6')
!expense6.amount := 300.00
!expense6.startDate := Date('2023-11-01')
!expense6.endDate := Date('2023-11-15')
!insert (expense6, bill14) into ExpenseContainsBills
!insert (expense6, bill15) into ExpenseContainsBills
!insert (expense6, comment9) 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('currency6')
!currency6.name := 'Australian Dollar'
!currency6.abbreviation := 'AUD'
-- Creating instances of Bills
!new Bill('bill14')
!bill14.amount := 200.00
!bill14.category := 'IT Services'
!bill14.date := Date('2023-11-01')
!bill14.paymentMethod := #CHECK
!bill14.status := #PENDING
!insert (bill14, currency6) into BillCurrency
!new Bill('bill15')
!bill15.amount := 100.00
!bill15.category := 'Internet Charges'
!bill15.date := Date('2023-11-02')
!bill15.paymentMethod := #CREDIT_CARD
!bill15.status := #DRAFT
!insert (bill15, currency6) into BillCurrency
-- Creating instances of Comment
!new Comment('comment9')
!comment9.text := 'Expenses for business IT upgrades.'
-- Creating instance of Expense
!new Expense('expense6')
!expense6.amount := 300.00
!expense6.startDate := Date('2023-11-01')
!expense6.endDate := Date('2023-11-15')
!insert (expense6, bill14) into ExpenseContainsBills
!insert (expense6, bill15) into ExpenseContainsBills
!insert (expense6, comment9) into ExpenseComment
</object_model> LLM as a Judge
The object model represents a logically consistent scenario. The currency (AUD) is real, the bill categories align well with the comment about "business IT upgrades", the dates of the bills fall within the start and end dates of the expense report, and the total expense amount correctly matches the sum of the 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 | 89.6% |
| 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('weddingCelebrationExpense')
!weddingCelebrationExpense.amount := 15000.00
!weddingCelebrationExpense.startDate := Date('2023-06-15')
!weddingCelebrationExpense.endDate := Date('2023-06-17')
!new Bill('venueRentalBill')
!venueRentalBill.amount := 8000.00
!venueRentalBill.category := 'Venue Rental'
!venueRentalBill.date := Date('2023-05-10')
!venueRentalBill.paymentMethod := #CREDIT_CARD
!venueRentalBill.status := #VALIDATED
!new Bill('cateringServicesBill')
!cateringServicesBill.amount := 3000.00
!cateringServicesBill.category := 'Catering Services'
!cateringServicesBill.date := Date('2023-06-16')
!cateringServicesBill.paymentMethod := #CREDIT_CARD
!cateringServicesBill.status := #VERIFIED
!new Bill('decorationsAndFlowersBill')
!decorationsAndFlowersBill.amount := 2000.00
!decorationsAndFlowersBill.category := 'Decorations and Flowers'
!decorationsAndFlowersBill.date := Date('2023-05-20')
!decorationsAndFlowersBill.paymentMethod := #CASH
!decorationsAndFlowersBill.status := #VERIFIED
!new Bill('photographyBill')
!photographyBill.amount := 1500.00
!photographyBill.category := 'Photography'
!photographyBill.date := Date('2023-06-16')
!photographyBill.paymentMethod := #CHECK
!photographyBill.status := #VERIFIED
!new Bill('musicAndEntertainmentBill')
!musicAndEntertainmentBill.amount := 500.00
!musicAndEntertainmentBill.category := 'Music and Entertainment'
!musicAndEntertainmentBill.date := Date('2023-06-17')
!musicAndEntertainmentBill.paymentMethod := #CREDIT_CARD
!musicAndEntertainmentBill.status := #VALIDATED
!new Currency('currencyINR')
!currencyINR.name := 'Indian Rupee'
!currencyINR.abbreviation := 'INR'
!insert (venueRentalBill, currencyINR) into BillCurrency
!insert (cateringServicesBill, currencyINR) into BillCurrency
!insert (decorationsAndFlowersBill, currencyINR) into BillCurrency
!insert (photographyBill, currencyINR) into BillCurrency
!insert (musicAndEntertainmentBill, currencyINR) into BillCurrency
!insert (weddingCelebrationExpense, venueRentalBill) into ExpenseContainsBills
!insert (weddingCelebrationExpense, cateringServicesBill) into ExpenseContainsBills
!insert (weddingCelebrationExpense, decorationsAndFlowersBill) into ExpenseContainsBills
!insert (weddingCelebrationExpense, photographyBill) into ExpenseContainsBills
!insert (weddingCelebrationExpense, musicAndEntertainmentBill) into ExpenseContainsBills
!new Comment('venueComment')
!venueComment.text := 'The venue was breathtaking, complementing the beautiful outdoor setting.'
!new Comment('cateringComment')
!cateringComment.text := 'Catering team did a wonderful job accommodating a variety of dietary needs.'
!new Comment('flowersComment')
!flowersComment.text := 'The choice of flowers was perfect, adding elegance to the decorations.'
!new Comment('photographyComment')
!photographyComment.text := 'Photography captured every magical moment beautifully.'
!new Comment('musicComment')
!musicComment.text := 'Live music kept everyone on their feet, an unforgettable celebration!'
!insert (weddingCelebrationExpense, venueComment) into ExpenseComment
!insert (weddingCelebrationExpense, cateringComment) into ExpenseComment
!insert (weddingCelebrationExpense, flowersComment) into ExpenseComment
!insert (weddingCelebrationExpense, photographyComment) into ExpenseComment
!insert (weddingCelebrationExpense, musicComment) 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: Wedding Celebration Expense
### Expense
- **amount**: 15000.00
- **startDate**: "2023-06-15"
- **endDate**: "2023-06-17"
### Bills
1. **Bill 1**:
- **amount**: 8000.00
- **category**: "Venue Rental"
- **date**: "2023-05-10"
- **paymentMethod**: BANK_TRANSFER
- **status**: VALIDATED
- **currency**:
- **name**: "Indian Rupee"
- **abbreviation**: "INR"
2. **Bill 2**:
- **amount**: 3000.00
- **category**: "Catering Services"
- **date**: "2023-06-16"
- **paymentMethod**: CREDIT_CARD
- **status**: VERIFIED
- **currency**:
- **name**: "Indian Rupee"
- **abbreviation**: "INR"
3. **Bill 3**:
- **amount**: 2000.00
- **category**: "Decorations and Flowers"
- **date**: "2023-05-20"
- **paymentMethod**: CASH
- **status**: VERIFIED
- **currency**:
- **name**: "Indian Rupee"
- **abbreviation**: "INR"
4. **Bill 4**:
- **amount**: 1500.00
- **category**: "Photography"
- **date**: "2023-06-16"
- **paymentMethod**: CHECK
- **status**: VERIFIED
- **currency**:
- **name**: "Indian Rupee"
- **abbreviation**: "INR"
5. **Bill 5**:
- **amount**: 500.00
- **category**: "Music and Entertainment"
- **date**: "2023-06-17"
- **paymentMethod**: DEBIT_CARD
- **status**: VALIDATED
- **currency**:
- **name**: "Indian Rupee"
- **abbreviation**: "INR"
### Comments
- **Comment 1**:
- **text**: "The venue was breathtaking, complementing the beautiful outdoor setting."
- **Comment 2**:
- **text**: "Catering team did a wonderful job accommodating a variety of dietary needs."
- **Comment 3**:
- **text**: "The choice of flowers was perfect, adding elegance to the decorations."
- **Comment 4**:
- **text**: "Photography captured every magical moment beautifully."
- **Comment 5**:
- **text**: "Live music kept everyone on their feet, an unforgettable celebration!"
This instance depicts a wedding celebration expense, enriched with culturally significant details such as holding the event in India and using Indian Rupees. The variety of bill categories covers all major aspects of a wedding event, from venue rental to entertainment. It employs multiple payment methods and demonstrates statuses reflecting real-world complexities in event planning. The comments highlight the joyous nature of the occasion alongside meticulous event execution. This instance offers a distinct cultural and structural perspective, further diversifying the range of 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('weddingCelebrationExpense')
!weddingCelebrationExpense.amount := 15000.00
!weddingCelebrationExpense.startDate := Date('2023-06-15')
!weddingCelebrationExpense.endDate := Date('2023-06-17')
!new Bill('venueRentalBill')
!venueRentalBill.amount := 8000.00
!venueRentalBill.category := 'Venue Rental'
!venueRentalBill.date := Date('2023-05-10')
!venueRentalBill.paymentMethod := #CREDIT_CARD
!venueRentalBill.status := #VALIDATED
!new Bill('cateringServicesBill')
!cateringServicesBill.amount := 3000.00
!cateringServicesBill.category := 'Catering Services'
!cateringServicesBill.date := Date('2023-06-16')
!cateringServicesBill.paymentMethod := #CREDIT_CARD
!cateringServicesBill.status := #VERIFIED
!new Bill('decorationsAndFlowersBill')
!decorationsAndFlowersBill.amount := 2000.00
!decorationsAndFlowersBill.category := 'Decorations and Flowers'
!decorationsAndFlowersBill.date := Date('2023-05-20')
!decorationsAndFlowersBill.paymentMethod := #CASH
!decorationsAndFlowersBill.status := #VERIFIED
!new Bill('photographyBill')
!photographyBill.amount := 1500.00
!photographyBill.category := 'Photography'
!photographyBill.date := Date('2023-06-16')
!photographyBill.paymentMethod := #CHECK
!photographyBill.status := #VERIFIED
!new Bill('musicAndEntertainmentBill')
!musicAndEntertainmentBill.amount := 500.00
!musicAndEntertainmentBill.category := 'Music and Entertainment'
!musicAndEntertainmentBill.date := Date('2023-06-17')
!musicAndEntertainmentBill.paymentMethod := #CREDIT_CARD
!musicAndEntertainmentBill.status := #VALIDATED
!new Currency('currencyINR')
!currencyINR.name := 'Indian Rupee'
!currencyINR.abbreviation := 'INR'
!insert (venueRentalBill, currencyINR) into BillCurrency
!insert (cateringServicesBill, currencyINR) into BillCurrency
!insert (decorationsAndFlowersBill, currencyINR) into BillCurrency
!insert (photographyBill, currencyINR) into BillCurrency
!insert (musicAndEntertainmentBill, currencyINR) into BillCurrency
!insert (weddingCelebrationExpense, venueRentalBill) into ExpenseContainsBills
!insert (weddingCelebrationExpense, cateringServicesBill) into ExpenseContainsBills
!insert (weddingCelebrationExpense, decorationsAndFlowersBill) into ExpenseContainsBills
!insert (weddingCelebrationExpense, photographyBill) into ExpenseContainsBills
!insert (weddingCelebrationExpense, musicAndEntertainmentBill) into ExpenseContainsBills
!new Comment('venueComment')
!venueComment.text := 'The venue was breathtaking, complementing the beautiful outdoor setting.'
!new Comment('cateringComment')
!cateringComment.text := 'Catering team did a wonderful job accommodating a variety of dietary needs.'
!new Comment('flowersComment')
!flowersComment.text := 'The choice of flowers was perfect, adding elegance to the decorations.'
!new Comment('photographyComment')
!photographyComment.text := 'Photography captured every magical moment beautifully.'
!new Comment('musicComment')
!musicComment.text := 'Live music kept everyone on their feet, an unforgettable celebration!'
!insert (weddingCelebrationExpense, venueComment) into ExpenseComment
!insert (weddingCelebrationExpense, cateringComment) into ExpenseComment
!insert (weddingCelebrationExpense, flowersComment) into ExpenseComment
!insert (weddingCelebrationExpense, photographyComment) into ExpenseComment
!insert (weddingCelebrationExpense, musicComment) into ExpenseComment
</object_model> LLM as a Judge
The object model represents a mathematically consistent and chronologically logical event. The total expense amount correctly matches the sum of the individual bills, the bill dates reasonably precede or occur during the expense dates, and the semantic categories, payment methods, and comments align well with a real-world wedding celebration.
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 | $0.10 |
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 | 0/62 |
| Multiplicities | 0/15 |
| 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 | 86.2% |
| Shannon (Active) | 0.918 ± 0.053 |
| Shannon (All) | 0.620 ± 0.245 |
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 | 12/∞ |
| Attributes | 35/35 |
| Relationships | 15/∞ |
Viewer
!new Expense('boundaryCaseExpense')
!boundaryCaseExpense.amount := 0.00
!boundaryCaseExpense.startDate := Date('2023-12-01')
!boundaryCaseExpense.endDate := Date('2023-12-31')
!new Bill('returnedMerchandiseBill')
!returnedMerchandiseBill.amount := 0.00
!returnedMerchandiseBill.category := 'Returned Merchandise'
!returnedMerchandiseBill.date := Date('2023-12-10')
!returnedMerchandiseBill.paymentMethod := #CASH
!returnedMerchandiseBill.status := #REFUNDED
!new Currency('currencyCAD')
!currencyCAD.name := 'Canadian Dollar'
!currencyCAD.abbreviation := 'CAD'
!insert (returnedMerchandiseBill, currencyCAD) into BillCurrency
!insert (boundaryCaseExpense, returnedMerchandiseBill) into ExpenseContainsBills
!new Comment('returnComment')
!returnComment.text := 'All items from the purchase were returned; hence no expense incurred.'
!insert (boundaryCaseExpense, returnComment) 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**: "2023-12-01"
- **endDate**: "2023-12-31"
### Bills Contained in Expense
#### Bill 1 (Minimum Boundary Test with No Amount and Status Change)
- **Bill**:
- **amount**: 0.00
- **category**: "Returned Merchandise"
- **date**: "2023-12-10"
- **paymentMethod**: CASH
- **status**: REFUNDED
- **Currency**:
- **name**: "Canadian Dollar"
- **abbreviation**: "CAD"
### Comments on the Expense
- **Comments**:
- **Comment 1**:
- **text**: "All items from the purchase were returned; hence no expense incurred."
### Explanation
- The **Expense** has an amount of 0.00, presenting a case where the entire transaction cycle from purchase to refund results in no net expenditure.
- **Bill 1** reflects a situation involving a complete return of merchandise, with the status set to REFUNDED and an amount of 0.00, underlining a scenario of full reversal of costs commonly encountered in retail.
- The use of **Canadian Dollar** (CAD) diversifies the context, planting the instance in a North American commercial setting.
- There is a single **Comment** to document the reason for the zero net expense, clarifying why the transaction did not result in any financial outlay, which is critical for auditing purposes.
- This scenario is contained within a single month, representing a retail scenario with no financial impact due to efficient return and refund policies, highlighting how return policies are a key aspect of consumer financial strategy. <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('2023-12-01')
!boundaryCaseExpense.endDate := Date('2023-12-31')
!new Bill('returnedMerchandiseBill')
!returnedMerchandiseBill.amount := 0.00
!returnedMerchandiseBill.category := 'Returned Merchandise'
!returnedMerchandiseBill.date := Date('2023-12-10')
!returnedMerchandiseBill.paymentMethod := #CASH
!returnedMerchandiseBill.status := #REFUNDED
!new Currency('currencyCAD')
!currencyCAD.name := 'Canadian Dollar'
!currencyCAD.abbreviation := 'CAD'
!insert (returnedMerchandiseBill, currencyCAD) into BillCurrency
!insert (boundaryCaseExpense, returnedMerchandiseBill) into ExpenseContainsBills
!new Comment('returnComment')
!returnComment.text := 'All items from the purchase were returned; hence no expense incurred.'
!insert (boundaryCaseExpense, returnComment) into ExpenseComment
</object_model> LLM as a Judge
The object model portrays a completely consistent real-world scenario of submitting an expense report for a fully refunded purchase. The bill date (2023-12-10) falls logically within the expense period (December 2023), the currency represents a valid real-world currency (Canadian Dollar/CAD), the expense amount accurately equals the sum of the bills (0), and the comment logically explains the 0.00 amounts.
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 | $0.10 |
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 | 91.3% |
| 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('weddingPlanningExpense')
!weddingPlanningExpense.amount := 17300.00
!weddingPlanningExpense.startDate := Date('2024-03-01')
!weddingPlanningExpense.endDate := Date('2024-04-30')
!new Bill('venueAndCateringBill')
!venueAndCateringBill.amount := 9000.00
!venueAndCateringBill.category := 'Venue and Catering'
!venueAndCateringBill.date := Date('2024-03-15')
!venueAndCateringBill.paymentMethod := #CHECK
!venueAndCateringBill.status := #VERIFIED
!new Bill('photographyAndVideographyBill')
!photographyAndVideographyBill.amount := 3000.00
!photographyAndVideographyBill.category := 'Photography and Videography'
!photographyAndVideographyBill.date := Date('2024-03-20')
!photographyAndVideographyBill.paymentMethod := #CREDIT_CARD
!photographyAndVideographyBill.status := #VERIFIED
!new Bill('weddingAttireBill')
!weddingAttireBill.amount := 2500.00
!weddingAttireBill.category := 'Wedding Attire'
!weddingAttireBill.date := Date('2024-03-25')
!weddingAttireBill.paymentMethod := #CASH
!weddingAttireBill.status := #DRAFT
!new Bill('decorationAndFloralsBill')
!decorationAndFloralsBill.amount := 1500.00
!decorationAndFloralsBill.category := 'Decoration and Florals'
!decorationAndFloralsBill.date := Date('2024-04-05')
!decorationAndFloralsBill.paymentMethod := #CREDIT_CARD
!decorationAndFloralsBill.status := #PENDING
!new Bill('entertainmentAndMusicBill')
!entertainmentAndMusicBill.amount := 1300.00
!entertainmentAndMusicBill.category := 'Entertainment and Music'
!entertainmentAndMusicBill.date := Date('2024-04-10')
!entertainmentAndMusicBill.paymentMethod := #CHECK
!entertainmentAndMusicBill.status := #REFUSED
!new Currency('currencyEUR')
!currencyEUR.name := 'Euro'
!currencyEUR.abbreviation := 'EUR'
!insert (venueAndCateringBill, currencyEUR) into BillCurrency
!insert (photographyAndVideographyBill, currencyEUR) into BillCurrency
!insert (weddingAttireBill, currencyEUR) into BillCurrency
!insert (decorationAndFloralsBill, currencyEUR) into BillCurrency
!insert (entertainmentAndMusicBill, currencyEUR) into BillCurrency
!insert (weddingPlanningExpense, venueAndCateringBill) into ExpenseContainsBills
!insert (weddingPlanningExpense, photographyAndVideographyBill) into ExpenseContainsBills
!insert (weddingPlanningExpense, weddingAttireBill) into ExpenseContainsBills
!insert (weddingPlanningExpense, decorationAndFloralsBill) into ExpenseContainsBills
!insert (weddingPlanningExpense, entertainmentAndMusicBill) into ExpenseContainsBills
!new Comment('weddingComment1')
!weddingComment1.text := 'Expenses for hosting our wedding ceremony and reception at Lakeview Resort, including all related services and arrangements.'
!new Comment('weddingComment2')
!weddingComment2.text := 'Everything from decoration to catering was exceptional, making it a day to remember for us and our guests.'
!insert (weddingPlanningExpense, weddingComment1) into ExpenseComment
!insert (weddingPlanningExpense, weddingComment2) 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: Wedding Planning Expenses
#### Expense Instance
- **Expense ID**: E006
- **amount**: 18300.00 (This is the sum of all associated bills.)
- **startDate**: "2024-03-01"
- **endDate**: "2024-04-30"
- **Comments**:
- (Comment 1)
- **text**: "Expenses for hosting our wedding ceremony and reception at Lakeview Resort, including all related services and arrangements."
- (Comment 2)
- **text**: "Everything from decoration to catering was exceptional, making it a day to remember for us and our guests."
#### Bill Instances (Related to Expense E006)
1. **Bill ID**: B024
- **amount**: 9000.00
- **category**: "Venue and Catering"
- **date**: "2024-03-15"
- **paymentMethod**: CHECK
- **status**: VERIFIED
- **Currency**:
- **name**: "Euro"
- **abbreviation**: "EUR"
2. **Bill ID**: B025
- **amount**: 3000.00
- **category**: "Photography and Videography"
- **date**: "2024-03-20"
- **paymentMethod**: CREDIT_CARD
- **status**: VERIFIED
- **Currency**:
- **name**: "Euro"
- **abbreviation**: "EUR"
3. **Bill ID**: B026
- **amount**: 2500.00
- **category**: "Wedding Attire"
- **date**: "2024-03-25"
- **paymentMethod**: CASH
- **status**: DRAFT
- **Currency**:
- **name**: "Euro"
- **abbreviation**: "EUR"
4. **Bill ID**: B027
- **amount**: 1500.00
- **category**: "Decoration and Florals"
- **date**: "2024-04-05"
- **paymentMethod**: CREDIT_CARD
- **status**: PENDING
- **Currency**:
- **name**: "Euro"
- **abbreviation**: "EUR"
5. **Bill ID**: B028
- **amount**: 1300.00
- **category**: "Entertainment and Music"
- **date**: "2024-04-10"
- **paymentMethod**: CHECK
- **status**: REFUSED
- **Currency**:
- **name**: "Euro"
- **abbreviation**: "EUR"
#### Details and Relationships
- **ExpenseContainsBills**: The expense E006 includes five bills (B024, B025, B026, B027, B028), encompassing all necessary elements to plan and execute a memorable wedding.
- **ExpenseComment**: The comments provide personal reflections on how the expenses contributed to an unforgettable celebration, underscoring the satisfaction with service providers and experiences.
- **BillCurrency**: All bills are handled in the "Euro (EUR)" currency, signifying that the wedding takes place in Europe, potentially appealing to international guests.
In this instance, the constraints and invariants are respected as follows:
- **Expense inv positiveAmount**: All amounts are non-negative, which is expected when recording expenses.
- **Expense inv expenseSumOfBills**: The total expense amount (18300.00) accurately tallies with the sum of all related bill amounts (9000.00 + 3000.00 + 2500.00 + 1500.00 + 1300.00 = 18300.00).
This instance introduces a wedding planning scenario, highlighting the range of services and expenses necessary to orchestrate a large personal event, with various statuses and payment methods, offering rich context and complexity fitting the model's demands. The last output is partially incorrect:
checking invariants...
checking invariant (1) `Expense::expenseSumOfBills': FAILED.
-> false : Boolean
checking invariant (2) `Expense::positiveAmount': OK.
checked 2 invariants in 0.001s, 1 failure.
Invariants
- **Expense inv positiveAmount**: Ensures that the amount for an Expense is non-negative.
- **Expense inv expenseSumOfBills**: Ensures that the total amount of an Expense is equal to the sum of the amounts of all its bills.
Please provide the complete output corrected <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('weddingPlanningExpense')
!weddingPlanningExpense.amount := 17300.00
!weddingPlanningExpense.startDate := Date('2024-03-01')
!weddingPlanningExpense.endDate := Date('2024-04-30')
!new Bill('venueAndCateringBill')
!venueAndCateringBill.amount := 9000.00
!venueAndCateringBill.category := 'Venue and Catering'
!venueAndCateringBill.date := Date('2024-03-15')
!venueAndCateringBill.paymentMethod := #CHECK
!venueAndCateringBill.status := #VERIFIED
!new Bill('photographyAndVideographyBill')
!photographyAndVideographyBill.amount := 3000.00
!photographyAndVideographyBill.category := 'Photography and Videography'
!photographyAndVideographyBill.date := Date('2024-03-20')
!photographyAndVideographyBill.paymentMethod := #CREDIT_CARD
!photographyAndVideographyBill.status := #VERIFIED
!new Bill('weddingAttireBill')
!weddingAttireBill.amount := 2500.00
!weddingAttireBill.category := 'Wedding Attire'
!weddingAttireBill.date := Date('2024-03-25')
!weddingAttireBill.paymentMethod := #CASH
!weddingAttireBill.status := #DRAFT
!new Bill('decorationAndFloralsBill')
!decorationAndFloralsBill.amount := 1500.00
!decorationAndFloralsBill.category := 'Decoration and Florals'
!decorationAndFloralsBill.date := Date('2024-04-05')
!decorationAndFloralsBill.paymentMethod := #CREDIT_CARD
!decorationAndFloralsBill.status := #PENDING
!new Bill('entertainmentAndMusicBill')
!entertainmentAndMusicBill.amount := 1300.00
!entertainmentAndMusicBill.category := 'Entertainment and Music'
!entertainmentAndMusicBill.date := Date('2024-04-10')
!entertainmentAndMusicBill.paymentMethod := #CHECK
!entertainmentAndMusicBill.status := #REFUSED
!new Currency('currencyEUR')
!currencyEUR.name := 'Euro'
!currencyEUR.abbreviation := 'EUR'
!insert (venueAndCateringBill, currencyEUR) into BillCurrency
!insert (photographyAndVideographyBill, currencyEUR) into BillCurrency
!insert (weddingAttireBill, currencyEUR) into BillCurrency
!insert (decorationAndFloralsBill, currencyEUR) into BillCurrency
!insert (entertainmentAndMusicBill, currencyEUR) into BillCurrency
!insert (weddingPlanningExpense, venueAndCateringBill) into ExpenseContainsBills
!insert (weddingPlanningExpense, photographyAndVideographyBill) into ExpenseContainsBills
!insert (weddingPlanningExpense, weddingAttireBill) into ExpenseContainsBills
!insert (weddingPlanningExpense, decorationAndFloralsBill) into ExpenseContainsBills
!insert (weddingPlanningExpense, entertainmentAndMusicBill) into ExpenseContainsBills
!new Comment('weddingComment1')
!weddingComment1.text := 'Expenses for hosting our wedding ceremony and reception at Lakeview Resort, including all related services and arrangements.'
!new Comment('weddingComment2')
!weddingComment2.text := 'Everything from decoration to catering was exceptional, making it a day to remember for us and our guests.'
!insert (weddingPlanningExpense, weddingComment1) into ExpenseComment
!insert (weddingPlanningExpense, weddingComment2) into ExpenseComment
</object_model> LLM as a Judge
The object model represents a highly plausible scenario of a wedding expense. The bill categories (venue, photography, attire, etc.) and their amounts are realistic for a typical wedding. The sum of the bills matches the total expense amount correctly (17,300), and the bill dates fall within the valid start and end date range of the overarching expense.
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 | $0.22 |
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 | 86.4% |
| Shannon (Active) | 0.961 ± 0.000 |
| Shannon (All) | 0.852 ± 0.108 |
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('artExhibitionLaunchExpense')
!artExhibitionLaunchExpense.amount := 33400.00
!artExhibitionLaunchExpense.startDate := Date('2023-04-01')
!artExhibitionLaunchExpense.endDate := Date('2023-04-05')
!new Bill('artworkTransportationBill')
!artworkTransportationBill.amount := 12000.00
!artworkTransportationBill.category := 'Artwork Transportation'
!artworkTransportationBill.date := Date('2023-04-01')
!artworkTransportationBill.paymentMethod := #CHECK
!artworkTransportationBill.status := #VERIFIED
!new Bill('eventMarketingBill')
!eventMarketingBill.amount := 8500.00
!eventMarketingBill.category := 'Event Marketing'
!eventMarketingBill.date := Date('2023-04-02')
!eventMarketingBill.paymentMethod := #CREDIT_CARD
!eventMarketingBill.status := #REFUNDED
!new Bill('venueDecorationBill')
!venueDecorationBill.amount := 9000.00
!venueDecorationBill.category := 'Venue Decoration'
!venueDecorationBill.date := Date('2023-04-03')
!venueDecorationBill.paymentMethod := #CASH
!venueDecorationBill.status := #PENDING
!new Bill('artistAccommodationBill')
!artistAccommodationBill.amount := 3900.00
!artistAccommodationBill.category := 'Artist Accommodation'
!artistAccommodationBill.date := Date('2023-04-04')
!artistAccommodationBill.paymentMethod := #CREDIT_CARD
!artistAccommodationBill.status := #REFUSED
!new Currency('currencyGBP')
!currencyGBP.name := 'British Pound Sterling'
!currencyGBP.abbreviation := 'GBP'
!new Currency('currencyEUR')
!currencyEUR.name := 'Euro'
!currencyEUR.abbreviation := 'EUR'
!new Currency('currencyUSD')
!currencyUSD.name := 'US Dollar'
!currencyUSD.abbreviation := 'USD'
!new Currency('currencyJPY')
!currencyJPY.name := 'Japanese Yen'
!currencyJPY.abbreviation := 'JPY'
!insert (artworkTransportationBill, currencyGBP) into BillCurrency
!insert (eventMarketingBill, currencyEUR) into BillCurrency
!insert (venueDecorationBill, currencyUSD) into BillCurrency
!insert (artistAccommodationBill, currencyJPY) into BillCurrency
!insert (artExhibitionLaunchExpense, artworkTransportationBill) into ExpenseContainsBills
!insert (artExhibitionLaunchExpense, eventMarketingBill) into ExpenseContainsBills
!insert (artExhibitionLaunchExpense, venueDecorationBill) into ExpenseContainsBills
!insert (artExhibitionLaunchExpense, artistAccommodationBill) into ExpenseContainsBills
!new Comment('transportationComment')
!transportationComment.text := 'Verified dispatch of artwork transportation remains within regional compliance.'
!new Comment('marketingComment')
!marketingComment.text := 'Marketing expenditure refunded due to premature cancellation of ad placements.'
!new Comment('decorationComment')
!decorationComment.text := 'Pending verification of venue decor aligns with artistic director''s vision.'
!new Comment('accommodationComment')
!accommodationComment.text := 'Artist accommodation payment refused due to invoice inconsistencies requiring further review.'
!insert (artExhibitionLaunchExpense, transportationComment) into ExpenseComment
!insert (artExhibitionLaunchExpense, marketingComment) into ExpenseComment
!insert (artExhibitionLaunchExpense, decorationComment) into ExpenseComment
!insert (artExhibitionLaunchExpense, accommodationComment) 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: Art Exhibition Launch Financial Discrepancy
### Description
This instance, "Art Exhibition Launch Financial Discrepancy," depicts a sophisticated and nuanced scenario involving an art gallery managing an expense related to launching a major art exhibition. The instance features unforeseen financial discrepancies appearing post-event, creating unique challenges in financial reconciliation and reporting.
### Components
- **Expense**:
- **amount**: 33400.00
- **startDate**: "2023-04-01"
- **endDate**: "2023-04-05"
- **Bills**:
- **Bill 1**:
- **amount**: 12000.00
- **category**: "Artwork Transportation"
- **date**: "2023-04-01"
- **paymentMethod**: CHECK
- **status**: VERIFIED
- **Bill 2**:
- **amount**: 8500.00
- **category**: "Event Marketing"
- **date**: "2023-04-02"
- **paymentMethod**: CREDIT_CARD
- **status**: REFUNDED
- **Bill 3**:
- **amount**: 9000.00
- **category**: "Venue Decoration"
- **date**: "2023-04-03"
- **paymentMethod**: CASH
- **status**: PENDING
- **Bill 4**:
- **amount**: 3900.00
- **category**: "Artist Accommodation"
- **date**: "2023-04-04"
- **paymentMethod**: CREDIT_CARD
- **status**: REFUSED
- **Currency**:
- **Bill 1** uses Currency:
- **name**: "British Pound Sterling"
- **abbreviation**: "GBP"
- **Bill 2** uses Currency:
- **name**: "Euro"
- **abbreviation**: "EUR"
- **Bill 3** uses Currency:
- **name**: "US Dollar"
- **abbreviation**: "USD"
- **Bill 4** uses Currency:
- **name**: "Japanese Yen"
- **abbreviation**: "JPY"
- **Comments**:
- **Comment 1**:
- **text**: "Verified dispatch of artwork transportation remains within regional compliance."
- **Comment 2**:
- **text**: "Marketing expenditure refunded due to premature cancellation of ad placements."
- **Comment 3**:
- **text**: "Pending verification of venue decor aligns with artistic director's vision."
- **Comment 4**:
- **text**: "Artist accommodation payment refused due to invoice inconsistencies requiring further review."
### Explanation
- The **Expense** centers on the execution of an art exhibition with a specific focus on managing a series of practical and financial challenges during the event's operational window.
- The various **Bills** each tell a different story within the exhibition's setup, from transportation logistics to decor and accommodations, each with a distinct financial outcome from VERIFIED to REFUSED.
- Use of various **Currencies** indicates an internationally coordinated event, reflecting the import and accommodation of global art pieces and personnel.
- The diversity of **PaymentMethods** demonstrates the need for tailored strategies catering to different operational demands of the art world.
- **Comments** provide deeper insights into the decision-making processes and challenges faced during this financial period, underscoring both successful resolutions and areas needing further attention.
This instance explores the intricacies of launching a major cultural event, demonstrating how the "MyExpenses" model can function in scenarios demanding robust transaction handling, currency considerations, and financial clarity amid creative contexts. The last output is partially incorrect:
temp.soil> !new Comment('decorationComment')
temp.soil> !decorationComment.text := 'Pending verification of venue decor aligns with artistic director''s vision.'
<input>:line 1:93 extraneous input ''s vision.'' expecting EOF
Please provide the complete output corrected The last output is partially incorrect:
temp.soil> !new Comment('decorationComment')
temp.soil> !decorationComment.text := 'Pending verification of venue decor aligns with artistic director''s vision.'
<input>:line 1:93 extraneous input ''s vision.'' expecting EOF
Please provide the complete output corrected <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('artExhibitionLaunchExpense')
!artExhibitionLaunchExpense.amount := 33400.00
!artExhibitionLaunchExpense.startDate := Date('2023-04-01')
!artExhibitionLaunchExpense.endDate := Date('2023-04-05')
!new Bill('artworkTransportationBill')
!artworkTransportationBill.amount := 12000.00
!artworkTransportationBill.category := 'Artwork Transportation'
!artworkTransportationBill.date := Date('2023-04-01')
!artworkTransportationBill.paymentMethod := #CHECK
!artworkTransportationBill.status := #VERIFIED
!new Bill('eventMarketingBill')
!eventMarketingBill.amount := 8500.00
!eventMarketingBill.category := 'Event Marketing'
!eventMarketingBill.date := Date('2023-04-02')
!eventMarketingBill.paymentMethod := #CREDIT_CARD
!eventMarketingBill.status := #REFUNDED
!new Bill('venueDecorationBill')
!venueDecorationBill.amount := 9000.00
!venueDecorationBill.category := 'Venue Decoration'
!venueDecorationBill.date := Date('2023-04-03')
!venueDecorationBill.paymentMethod := #CASH
!venueDecorationBill.status := #PENDING
!new Bill('artistAccommodationBill')
!artistAccommodationBill.amount := 3900.00
!artistAccommodationBill.category := 'Artist Accommodation'
!artistAccommodationBill.date := Date('2023-04-04')
!artistAccommodationBill.paymentMethod := #CREDIT_CARD
!artistAccommodationBill.status := #REFUSED
!new Currency('currencyGBP')
!currencyGBP.name := 'British Pound Sterling'
!currencyGBP.abbreviation := 'GBP'
!new Currency('currencyEUR')
!currencyEUR.name := 'Euro'
!currencyEUR.abbreviation := 'EUR'
!new Currency('currencyUSD')
!currencyUSD.name := 'US Dollar'
!currencyUSD.abbreviation := 'USD'
!new Currency('currencyJPY')
!currencyJPY.name := 'Japanese Yen'
!currencyJPY.abbreviation := 'JPY'
!insert (artworkTransportationBill, currencyGBP) into BillCurrency
!insert (eventMarketingBill, currencyEUR) into BillCurrency
!insert (venueDecorationBill, currencyUSD) into BillCurrency
!insert (artistAccommodationBill, currencyJPY) into BillCurrency
!insert (artExhibitionLaunchExpense, artworkTransportationBill) into ExpenseContainsBills
!insert (artExhibitionLaunchExpense, eventMarketingBill) into ExpenseContainsBills
!insert (artExhibitionLaunchExpense, venueDecorationBill) into ExpenseContainsBills
!insert (artExhibitionLaunchExpense, artistAccommodationBill) into ExpenseContainsBills
!new Comment('transportationComment')
!transportationComment.text := 'Verified dispatch of artwork transportation remains within regional compliance.'
!new Comment('marketingComment')
!marketingComment.text := 'Marketing expenditure refunded due to premature cancellation of ad placements.'
!new Comment('decorationComment')
!decorationComment.text := 'Pending verification of venue decor aligns with artistic director''s vision.'
!new Comment('accommodationComment')
!accommodationComment.text := 'Artist accommodation payment refused due to invoice inconsistencies requiring further review.'
!insert (artExhibitionLaunchExpense, transportationComment) into ExpenseComment
!insert (artExhibitionLaunchExpense, marketingComment) into ExpenseComment
!insert (artExhibitionLaunchExpense, decorationComment) into ExpenseComment
!insert (artExhibitionLaunchExpense, accommodationComment) into ExpenseComment
</object_model> LLM as a Judge
The total amount for the 'artExhibitionLaunchExpense' (33400.00) is calculated by directly summing the raw face values of its associated bills (12000 + 8500 + 9000 + 3900), despite each bill being in an entirely different real-world currency (GBP, EUR, USD, JPY). Summing different monetary currencies 1:1 without exchange rate conversions is an economic and logical fallacy.
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 | $0.38 |
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 | 0/60 |
| 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 | 90.7% |
| 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 | 13/∞ |
| Attributes | 35/35 |
| Relationships | 12/∞ |
Viewer
!new Expense('outdoorAdventureExpense')
!outdoorAdventureExpense.amount := 1500.00
!outdoorAdventureExpense.startDate := Date('2024-02-10')
!outdoorAdventureExpense.endDate := Date('2024-02-20')
!new Bill('guidedHikingBill')
!guidedHikingBill.amount := 600.00
!guidedHikingBill.category := 'Guided Hiking Services'
!guidedHikingBill.date := Date('2024-02-12')
!guidedHikingBill.paymentMethod := #CASH
!guidedHikingBill.status := #VALIDATED
!new Bill('campingEquipmentBill')
!campingEquipmentBill.amount := 300.00
!campingEquipmentBill.category := 'Camping Equipment Rental'
!campingEquipmentBill.date := Date('2024-02-11')
!campingEquipmentBill.paymentMethod := #CHECK
!campingEquipmentBill.status := #VERIFIED
!new Bill('travelInsuranceBill')
!travelInsuranceBill.amount := 200.00
!travelInsuranceBill.category := 'Travel Insurance'
!travelInsuranceBill.date := Date('2024-01-30')
!travelInsuranceBill.paymentMethod := #CREDIT_CARD
!travelInsuranceBill.status := #VERIFIED
!new Bill('unforeseenExpensesBill')
!unforeseenExpensesBill.amount := 400.00
!unforeseenExpensesBill.category := 'Miscellaneous Unforeseen Expenses'
!unforeseenExpensesBill.date := Date('2024-02-18')
!unforeseenExpensesBill.paymentMethod := #CASH
!unforeseenExpensesBill.status := #PENDING
!new Currency('currencyARS')
!currencyARS.name := 'Argentine Peso'
!currencyARS.abbreviation := 'ARS'
!new Currency('currencyUSD')
!currencyUSD.name := 'United States Dollar'
!currencyUSD.abbreviation := 'USD'
!insert (guidedHikingBill, currencyARS) into BillCurrency
!insert (campingEquipmentBill, currencyARS) into BillCurrency
!insert (travelInsuranceBill, currencyUSD) into BillCurrency
!insert (unforeseenExpensesBill, currencyARS) into BillCurrency
!insert (outdoorAdventureExpense, guidedHikingBill) into ExpenseContainsBills
!insert (outdoorAdventureExpense, campingEquipmentBill) into ExpenseContainsBills
!insert (outdoorAdventureExpense, travelInsuranceBill) into ExpenseContainsBills
!insert (outdoorAdventureExpense, unforeseenExpensesBill) into ExpenseContainsBills
!new Comment('safetyAdvice')
!safetyAdvice.text := 'Ensure you have comprehensive travel insurance for adventure trips.'
!new Comment('equipmentTip')
!equipmentTip.text := 'Rent rather than buy equipment to save on costs.'
!insert (outdoorAdventureExpense, safetyAdvice) into ExpenseComment
!insert (outdoorAdventureExpense, equipmentTip) 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: OutdoorAdventureExpense
### Description:
Carlos embarks on an outdoor adventure trip to Patagonia, taking part in several exciting activities. During the trip, he keeps track of his expenses and encounters an issue with the model related to payment method diversity and undocumented expenses inclusion.
### Entities:
- **Expense (OutdoorAdventureExpense)**
- **amount**: 1500.00
- **startDate**: "2024-02-10"
- **endDate**: "2024-02-20"
- **Bill (GuidedHikingBill)**
- **amount**: 600.00
- **category**: "Guided Hiking Services"
- **date**: "2024-02-12"
- **paymentMethod**: CASH
- **status**: VALIDATED
- **Currency (ARS)**
- **name**: "Argentine Peso"
- **abbreviation**: "ARS"
- **Bill (CampingEquipmentBill)**
- **amount**: 300.00
- **category**: "Camping Equipment Rental"
- **date**: "2024-02-11"
- **paymentMethod**: CHECK
- **status**: VERIFIED
- **Currency (ARS)**
- **name**: "Argentine Peso"
- **abbreviation**: "ARS"
- **Bill (TravelInsuranceBill)**
- **amount**: 200.00
- **category**: "Travel Insurance"
- **date**: "2024-01-30"
- **paymentMethod**: CREDIT_CARD
- **status**: VERIFIED
- **Currency (USD)**
- **name**: "United States Dollar"
- **abbreviation**: "USD"
- **Bill (UnforeseenExpensesBill)**
- **amount**: 400.00
- **category**: "Miscellaneous Unforeseen Expenses"
- **date**: "2024-02-18"
- **paymentMethod**: CASH
- **status**: PENDING
- **Currency (ARS)**
- **name**: "Argentine Peso"
- **abbreviation**: "ARS"
- **Comment (SafetyAdvice)**
- **text**: "Ensure you have comprehensive travel insurance for adventure trips."
- **Comment (EquipmentTip)**
- **text**: "Rent rather than buy equipment to save on costs."
### Relationships and Overconstraint Detection:
1. **ExpenseContainsBills**
- `OutdoorAdventureExpense` involves four bills: `GuidedHikingBill`, `CampingEquipmentBill`, `TravelInsuranceBill`, and `UnforeseenExpensesBill`.
- **Violation**: The incorporation of a broad "UnforeseenExpensesBill" with uncertainties exposes models to intense structural flex needs, demanding non-conventional invoice structure—additionally, spanning multiple payments often demands recomputed dynamic payment focus rather than fixed spanning set in initial interpretations.
2. **BillCurrency**
- Bills are linked primarily to the Argentine Peso (ARS), with one bill using USD. This portrays an underlying difficulty in managing multi-currency without comprehensive currency conversion representation within unpredicted expense deployments.
3. **ExpenseComment**
- `OutdoorAdventureExpense` provides practical trip advisories: `SafetyAdvice` and `EquipmentTip`, covering both precautionary procedures and budget tips for travelers.
4. **Invariant Violation**
- Completing accurate post-expense calculations with flexible, unstructured burdens denotes a critical model flaw needing remedial strategy for unforeseen expense integration, encouraging arbitral rule alterations for pervasive event encapsulation.
This instance underscores the need for model easement involving diverse payment and documentation trails, fostering global-scale adventure trip anticipations with reconcilable flexibility mandates, especially pertinent to guiding unexpected financial alchemies into structured records without rectilinear conflicts. <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('outdoorAdventureExpense')
!outdoorAdventureExpense.amount := 1500.00
!outdoorAdventureExpense.startDate := Date('2024-02-10')
!outdoorAdventureExpense.endDate := Date('2024-02-20')
!new Bill('guidedHikingBill')
!guidedHikingBill.amount := 600.00
!guidedHikingBill.category := 'Guided Hiking Services'
!guidedHikingBill.date := Date('2024-02-12')
!guidedHikingBill.paymentMethod := #CASH
!guidedHikingBill.status := #VALIDATED
!new Bill('campingEquipmentBill')
!campingEquipmentBill.amount := 300.00
!campingEquipmentBill.category := 'Camping Equipment Rental'
!campingEquipmentBill.date := Date('2024-02-11')
!campingEquipmentBill.paymentMethod := #CHECK
!campingEquipmentBill.status := #VERIFIED
!new Bill('travelInsuranceBill')
!travelInsuranceBill.amount := 200.00
!travelInsuranceBill.category := 'Travel Insurance'
!travelInsuranceBill.date := Date('2024-01-30')
!travelInsuranceBill.paymentMethod := #CREDIT_CARD
!travelInsuranceBill.status := #VERIFIED
!new Bill('unforeseenExpensesBill')
!unforeseenExpensesBill.amount := 400.00
!unforeseenExpensesBill.category := 'Miscellaneous Unforeseen Expenses'
!unforeseenExpensesBill.date := Date('2024-02-18')
!unforeseenExpensesBill.paymentMethod := #CASH
!unforeseenExpensesBill.status := #PENDING
!new Currency('currencyARS')
!currencyARS.name := 'Argentine Peso'
!currencyARS.abbreviation := 'ARS'
!new Currency('currencyUSD')
!currencyUSD.name := 'United States Dollar'
!currencyUSD.abbreviation := 'USD'
!insert (guidedHikingBill, currencyARS) into BillCurrency
!insert (campingEquipmentBill, currencyARS) into BillCurrency
!insert (travelInsuranceBill, currencyUSD) into BillCurrency
!insert (unforeseenExpensesBill, currencyARS) into BillCurrency
!insert (outdoorAdventureExpense, guidedHikingBill) into ExpenseContainsBills
!insert (outdoorAdventureExpense, campingEquipmentBill) into ExpenseContainsBills
!insert (outdoorAdventureExpense, travelInsuranceBill) into ExpenseContainsBills
!insert (outdoorAdventureExpense, unforeseenExpensesBill) into ExpenseContainsBills
!new Comment('safetyAdvice')
!safetyAdvice.text := 'Ensure you have comprehensive travel insurance for adventure trips.'
!new Comment('equipmentTip')
!equipmentTip.text := 'Rent rather than buy equipment to save on costs.'
!insert (outdoorAdventureExpense, safetyAdvice) into ExpenseComment
!insert (outdoorAdventureExpense, equipmentTip) into ExpenseComment
</object_model> LLM as a Judge
The total `amount` for the 'outdoorAdventureExpense' (1500) directly sums raw bill amounts of different currencies (1300 Argentine Pesos and 200 US Dollars) without applying any exchange rate conversion. Financially and mathematically, adding unconverted values of different currencies to form a total is 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 | $0.14 |
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 | 0/48 |
| 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 | 87.1% |
| Shannon (Active) | 0.946 ± 0.000 |
| Shannon (All) | 0.763 ± 0.183 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 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 | 29/29 |
| Relationships | 10/∞ |