MyExpenses / gen3
Viewer
-- Creating instances of Currency
!new Currency('currency3')
!currency3.name := 'British Pound'
!currency3.abbreviation := 'GBP'
-- Creating instances of Bills
!new Bill('bill6')
!bill6.amount := 75.00
!bill6.category := 'Dining'
!bill6.date := Date('2023-08-15')
!bill6.paymentMethod := #CHECK
!bill6.status := #REFUSED
!insert (bill6, currency3) into BillCurrency
!new Bill('bill7')
!bill7.amount := 125.00
!bill7.category := 'Transportation'
!bill7.date := Date('2023-08-15')
!bill7.paymentMethod := #CREDIT_CARD
!bill7.status := #DRAFT
!insert (bill7, currency3) into BillCurrency
!new Bill('bill8')
!bill8.amount := 50.00
!bill8.category := 'Accommodation'
!bill8.date := Date('2023-08-16')
!bill8.paymentMethod := #CASH
!bill8.status := #VALIDATED
!insert (bill8, currency3) into BillCurrency
-- Creating instances of Comment
!new Comment('comment4')
!comment4.text := 'Expenses for client meeting.'
!new Comment('comment5')
!comment5.text := 'Need verification for dining bill.'
-- Creating instance of Expense
!new Expense('expense3')
!expense3.amount := 250.00
!expense3.startDate := Date('2023-08-15')
!expense3.endDate := Date('2023-08-17')
!insert (expense3, bill6) into ExpenseContainsBills
!insert (expense3, bill7) into ExpenseContainsBills
!insert (expense3, bill8) into ExpenseContainsBills
!insert (expense3, comment4) into ExpenseComment
!insert (expense3, comment5) 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('currency3')
!currency3.name := 'British Pound'
!currency3.abbreviation := 'GBP'
-- Creating instances of Bills
!new Bill('bill6')
!bill6.amount := 75.00
!bill6.category := 'Dining'
!bill6.date := Date('2023-08-15')
!bill6.paymentMethod := #CHECK
!bill6.status := #REFUSED
!insert (bill6, currency3) into BillCurrency
!new Bill('bill7')
!bill7.amount := 125.00
!bill7.category := 'Transportation'
!bill7.date := Date('2023-08-15')
!bill7.paymentMethod := #CREDIT_CARD
!bill7.status := #DRAFT
!insert (bill7, currency3) into BillCurrency
!new Bill('bill8')
!bill8.amount := 50.00
!bill8.category := 'Accommodation'
!bill8.date := Date('2023-08-16')
!bill8.paymentMethod := #CASH
!bill8.status := #VALIDATED
!insert (bill8, currency3) into BillCurrency
-- Creating instances of Comment
!new Comment('comment4')
!comment4.text := 'Expenses for client meeting.'
!new Comment('comment5')
!comment5.text := 'Need verification for dining bill.'
-- Creating instance of Expense
!new Expense('expense3')
!expense3.amount := 250.00
!expense3.startDate := Date('2023-08-15')
!expense3.endDate := Date('2023-08-17')
!insert (expense3, bill6) into ExpenseContainsBills
!insert (expense3, bill7) into ExpenseContainsBills
!insert (expense3, bill8) into ExpenseContainsBills
!insert (expense3, comment4) into ExpenseComment
!insert (expense3, comment5) into ExpenseComment
</object_model> LLM as a Judge
The assigned values for currencies, categories, dates, and amounts represent plausible real-world expense data. The individual bill statements fall perfectly within the expense report's date range (August 15-17, 2023), and the total amount of the expense exactly equals the sum of the associated bills (75 + 125 + 50 = 250), preserving both semantic consistency and OCL constraints.
Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $0.01 |
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 | 0/37 |
| Multiplicities | 0/8 |
| Invariants | 0/2 |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 100.0% |
| String Equals | 100.0% |
| String LV | 87.7% |
| Shannon (Active) | 1.000 ± 0.000 |
| Shannon (All) | 0.807 ± 0.193 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 100.0% |
| Attributes | 100.0% |
| Relationships | 100.0% |
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 7/∞ |
| Attributes | 22/22 |
| Relationships | 8/∞ |
Viewer
!new Expense('familySummerVacationExpense')
!familySummerVacationExpense.amount := 1000.00
!familySummerVacationExpense.startDate := Date('2023-07-20')
!familySummerVacationExpense.endDate := Date('2023-07-30')
!new Bill('airbnbRentalBill')
!airbnbRentalBill.amount := 300.00
!airbnbRentalBill.category := 'Airbnb Rental'
!airbnbRentalBill.date := Date('2023-07-20')
!airbnbRentalBill.paymentMethod := #CREDIT_CARD
!airbnbRentalBill.status := #DRAFT
!new Bill('groceryShoppingBill')
!groceryShoppingBill.amount := 200.00
!groceryShoppingBill.category := 'Grocery Shopping'
!groceryShoppingBill.date := Date('2023-07-21')
!groceryShoppingBill.paymentMethod := #CREDIT_CARD
!groceryShoppingBill.status := #VERIFIED
!new Bill('restaurantDiningBill')
!restaurantDiningBill.amount := 250.00
!restaurantDiningBill.category := 'Restaurant Dining'
!restaurantDiningBill.date := Date('2023-07-25')
!restaurantDiningBill.paymentMethod := #CHECK
!restaurantDiningBill.status := #REFUNDED
!new Bill('amusementParkTicketsBill')
!amusementParkTicketsBill.amount := 250.00
!amusementParkTicketsBill.category := 'Amusement Park Tickets'
!amusementParkTicketsBill.date := Date('2023-07-28')
!amusementParkTicketsBill.paymentMethod := #CASH
!amusementParkTicketsBill.status := #VALIDATED
!new Currency('currencyGBP')
!currencyGBP.name := 'British Pound'
!currencyGBP.abbreviation := 'GBP'
!insert (airbnbRentalBill, currencyGBP) into BillCurrency
!insert (groceryShoppingBill, currencyGBP) into BillCurrency
!insert (restaurantDiningBill, currencyGBP) into BillCurrency
!insert (amusementParkTicketsBill, currencyGBP) into BillCurrency
!insert (familySummerVacationExpense, airbnbRentalBill) into ExpenseContainsBills
!insert (familySummerVacationExpense, groceryShoppingBill) into ExpenseContainsBills
!insert (familySummerVacationExpense, restaurantDiningBill) into ExpenseContainsBills
!insert (familySummerVacationExpense, amusementParkTicketsBill) into ExpenseContainsBills
!new Comment('commentAirbnb')
!commentAirbnb.text := 'Loved the Airbnb, perfect for a family of five.'
!new Comment('commentGroceryPrices')
!commentGroceryPrices.text := 'Grocery prices were higher than expected, but great quality.'
!new Comment('commentAmusementPark')
!commentAmusementPark.text := 'The amusement park was a highlight; kids had a fantastic time!'
!insert (familySummerVacationExpense, commentAirbnb) into ExpenseComment
!insert (familySummerVacationExpense, commentGroceryPrices) into ExpenseComment
!insert (familySummerVacationExpense, commentAmusementPark) 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: Family Summer Vacation Expense
### Expense
- **amount**: 1000.00
- **startDate**: "2023-07-20"
- **endDate**: "2023-07-30"
### Bills
1. **Bill 1**:
- **amount**: 300.00
- **category**: "Airbnb Rental"
- **date**: "2023-07-20"
- **paymentMethod**: CREDIT_CARD
- **status**: DRAFT
- **currency**:
- **name**: "British Pound"
- **abbreviation**: "GBP"
2. **Bill 2**:
- **amount**: 200.00
- **category**: "Grocery Shopping"
- **date**: "2023-07-21"
- **paymentMethod**: DEBIT_CARD
- **status**: VERIFIED
- **currency**:
- **name**: "British Pound"
- **abbreviation**: "GBP"
3. **Bill 3**:
- **amount**: 250.00
- **category**: "Restaurant Dining"
- **date**: "2023-07-25"
- **paymentMethod**: CHECK
- **status**: REFUNDED
- **currency**:
- **name**: "British Pound"
- **abbreviation**: "GBP"
4. **Bill 4**:
- **amount**: 250.00
- **category**: "Amusement Park Tickets"
- **date**: "2023-07-28"
- **paymentMethod**: CASH
- **status**: VALIDATED
- **currency**:
- **name**: "British Pound"
- **abbreviation**: "GBP"
### Comments
- **Comment 1**:
- **text**: "Loved the Airbnb, perfect for a family of five."
- **Comment 2**:
- **text**: "Grocery prices were higher than expected, but great quality."
- **Comment 3**:
- **text**: "The amusement park was a highlight; kids had a fantastic time!"
This instance represents a family summer vacation expense with bills categorized under accommodation, dining, and entertainment. It is set in the UK, with all transactions in British Pounds. This scenario showcases diverse payment methods and bill statuses, along with informative comments reflecting a family experience during a vacation, offering structural and semantic diversity compared to previous instances. The last output is partially incorrect:
temp.soil> !groceryShoppingBill.date := Date('2023-07-21')
temp.soil> !groceryShoppingBill.paymentMethod := #DEBIT_CARD
<input>:1:0: generation of expression `#DEBIT_CARD' failed, with following error:
<input>:1:38: Undefined enumeration literal `DEBIT_CARD'.
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('familySummerVacationExpense')
!familySummerVacationExpense.amount := 1000.00
!familySummerVacationExpense.startDate := Date('2023-07-20')
!familySummerVacationExpense.endDate := Date('2023-07-30')
!new Bill('airbnbRentalBill')
!airbnbRentalBill.amount := 300.00
!airbnbRentalBill.category := 'Airbnb Rental'
!airbnbRentalBill.date := Date('2023-07-20')
!airbnbRentalBill.paymentMethod := #CREDIT_CARD
!airbnbRentalBill.status := #DRAFT
!new Bill('groceryShoppingBill')
!groceryShoppingBill.amount := 200.00
!groceryShoppingBill.category := 'Grocery Shopping'
!groceryShoppingBill.date := Date('2023-07-21')
!groceryShoppingBill.paymentMethod := #CREDIT_CARD
!groceryShoppingBill.status := #VERIFIED
!new Bill('restaurantDiningBill')
!restaurantDiningBill.amount := 250.00
!restaurantDiningBill.category := 'Restaurant Dining'
!restaurantDiningBill.date := Date('2023-07-25')
!restaurantDiningBill.paymentMethod := #CHECK
!restaurantDiningBill.status := #REFUNDED
!new Bill('amusementParkTicketsBill')
!amusementParkTicketsBill.amount := 250.00
!amusementParkTicketsBill.category := 'Amusement Park Tickets'
!amusementParkTicketsBill.date := Date('2023-07-28')
!amusementParkTicketsBill.paymentMethod := #CASH
!amusementParkTicketsBill.status := #VALIDATED
!new Currency('currencyGBP')
!currencyGBP.name := 'British Pound'
!currencyGBP.abbreviation := 'GBP'
!insert (airbnbRentalBill, currencyGBP) into BillCurrency
!insert (groceryShoppingBill, currencyGBP) into BillCurrency
!insert (restaurantDiningBill, currencyGBP) into BillCurrency
!insert (amusementParkTicketsBill, currencyGBP) into BillCurrency
!insert (familySummerVacationExpense, airbnbRentalBill) into ExpenseContainsBills
!insert (familySummerVacationExpense, groceryShoppingBill) into ExpenseContainsBills
!insert (familySummerVacationExpense, restaurantDiningBill) into ExpenseContainsBills
!insert (familySummerVacationExpense, amusementParkTicketsBill) into ExpenseContainsBills
!new Comment('commentAirbnb')
!commentAirbnb.text := 'Loved the Airbnb, perfect for a family of five.'
!new Comment('commentGroceryPrices')
!commentGroceryPrices.text := 'Grocery prices were higher than expected, but great quality.'
!new Comment('commentAmusementPark')
!commentAmusementPark.text := 'The amusement park was a highlight; kids had a fantastic time!'
!insert (familySummerVacationExpense, commentAirbnb) into ExpenseComment
!insert (familySummerVacationExpense, commentGroceryPrices) into ExpenseComment
!insert (familySummerVacationExpense, commentAmusementPark) into ExpenseComment
</object_model> LLM as a Judge
The object model represents a highly plausible family vacation expense report. The bill amounts are typical for the described categories, the sum of the bills correctly equals the total expense amount (1000.00), and all bill dates fall logically within the start and end dates of the overall vacation expense. The currencies and comments are appropriately modeled and semantically consistent.
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 | $0.08 |
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 | 0/11 |
| 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 | 90.0% |
| String Equals | 100.0% |
| String LV | 87.0% |
| 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 | 9/∞ |
| Attributes | 28/28 |
| Relationships | 11/∞ |
Viewer
!new Expense('complexExpense')
!complexExpense.amount := 5000.00
!complexExpense.startDate := Date('2023-11-01')
!complexExpense.endDate := Date('2023-11-30')
!new Bill('conferenceRegistrationBill')
!conferenceRegistrationBill.amount := 3000.00
!conferenceRegistrationBill.category := 'International Conference Registration'
!conferenceRegistrationBill.date := Date('2023-11-05')
!conferenceRegistrationBill.paymentMethod := #CREDIT_CARD
!conferenceRegistrationBill.status := #VALIDATED
!new Bill('flightTicketsBill')
!flightTicketsBill.amount := 2000.00
!flightTicketsBill.category := 'Flight Tickets'
!flightTicketsBill.date := Date('2023-11-10')
!flightTicketsBill.paymentMethod := #CASH
!flightTicketsBill.status := #VERIFIED
!new Currency('currencyEUR')
!currencyEUR.name := 'Euro'
!currencyEUR.abbreviation := 'EUR'
!insert (conferenceRegistrationBill, currencyEUR) into BillCurrency
!insert (flightTicketsBill, currencyEUR) into BillCurrency
!insert (complexExpense, conferenceRegistrationBill) into ExpenseContainsBills
!insert (complexExpense, flightTicketsBill) into ExpenseContainsBills
!new Comment('conferenceComment')
!conferenceComment.text := 'Attending the annual international tech conference.'
!new Comment('flightArrangementComment')
!flightArrangementComment.text := 'Flight arrangements were verified and secured in cash.'
!insert (complexExpense, conferenceComment) into ExpenseComment
!insert (complexExpense, flightArrangementComment) 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**: 5000.00
- **startDate**: "2023-11-01"
- **endDate**: "2023-11-30"
### Bills Contained in Expense
#### Bill 1 (High Complexity with Multiple Payment Methods and Statuses)
- **Bill**:
- **amount**: 3000.00
- **category**: "International Conference Registration"
- **date**: "2023-11-05"
- **paymentMethod**: CREDIT_CARD
- **status**: VALIDATED
- **Currency**:
- **name**: "Euro"
- **abbreviation**: "EUR"
#### Bill 2 (Complex Date and Status Changes)
- **Bill**:
- **amount**: 2000.00
- **category**: "Flight Tickets"
- **date**: "2023-11-10"
- **paymentMethod**: CASH
- **status**: VERIFIED
- **Currency**:
- **name**: "Euro"
- **abbreviation**: "EUR"
### Comments on the Expense
- **Comments**:
- **Comment 1**:
- **text**: "Attending the annual international tech conference."
- **Comment 2**:
- **text**: "Flight arrangements were verified and secured in cash."
### Explanation
- The **Expense** amount totals 5000.00, which consists of two substantial bills, showcasing a typical scenario for business or education-related travel expenses paid using different methods.
- **Bill 1** and **Bill 2** utilize multiple payment methods (CREDIT_CARD and CASH) and have different statuses (VALIDATED and VERIFIED), illustrating scenarios with a blend of pre-paid and on-site payments related to professional conferences.
- Both bills are associated with the **Euro** (EUR), indicating the transaction took place in a European context, offering global diversity.
- Two distinct **Comments** provide detailed insight into the nature of the expenses, representing an example of thorough record-keeping for audit or personal finance tracking purposes.
- The date range demonstrates a typical timeline for organized events and essential international travel planning, often necessitating varied payment strategies and careful documentation.
This instance illustrates a more business-oriented and complex expense structure, emphasizing high-value transactions, diverse payment methods, and multiple comments that reflect thoughtful tracking of intricate financial activities. <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('complexExpense')
!complexExpense.amount := 5000.00
!complexExpense.startDate := Date('2023-11-01')
!complexExpense.endDate := Date('2023-11-30')
!new Bill('conferenceRegistrationBill')
!conferenceRegistrationBill.amount := 3000.00
!conferenceRegistrationBill.category := 'International Conference Registration'
!conferenceRegistrationBill.date := Date('2023-11-05')
!conferenceRegistrationBill.paymentMethod := #CREDIT_CARD
!conferenceRegistrationBill.status := #VALIDATED
!new Bill('flightTicketsBill')
!flightTicketsBill.amount := 2000.00
!flightTicketsBill.category := 'Flight Tickets'
!flightTicketsBill.date := Date('2023-11-10')
!flightTicketsBill.paymentMethod := #CASH
!flightTicketsBill.status := #VERIFIED
!new Currency('currencyEUR')
!currencyEUR.name := 'Euro'
!currencyEUR.abbreviation := 'EUR'
!insert (conferenceRegistrationBill, currencyEUR) into BillCurrency
!insert (flightTicketsBill, currencyEUR) into BillCurrency
!insert (complexExpense, conferenceRegistrationBill) into ExpenseContainsBills
!insert (complexExpense, flightTicketsBill) into ExpenseContainsBills
!new Comment('conferenceComment')
!conferenceComment.text := 'Attending the annual international tech conference.'
!new Comment('flightArrangementComment')
!flightArrangementComment.text := 'Flight arrangements were verified and secured in cash.'
!insert (complexExpense, conferenceComment) into ExpenseComment
!insert (complexExpense, flightArrangementComment) into ExpenseComment
</object_model> LLM as a Judge
The object model represents a plausible real-world scenario of a business trip. The total expense correctly sums the individual bills (3000.00 + 2000.00 = 5000.00), the dates of the bills (Nov 5 and Nov 10) fall logically within the overarching expense period (Nov 1 to Nov 30), and the assigned payment methods, currency, and comments are logically consistent.
Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $0.06 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 0/29 |
| Multiplicities | 0/6 |
| 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 | 6/∞ |
| Attributes | 17/17 |
| Relationships | 6/∞ |
Viewer
!new Expense('localCharityEventExpense')
!localCharityEventExpense.amount := 1750.00
!localCharityEventExpense.startDate := Date('2023-12-05')
!localCharityEventExpense.endDate := Date('2023-12-07')
!new Bill('venueRentalBill')
!venueRentalBill.amount := 500.00
!venueRentalBill.category := 'Venue Rental'
!venueRentalBill.date := Date('2023-12-01')
!venueRentalBill.paymentMethod := #CHECK
!venueRentalBill.status := #VALIDATED
!new Bill('cateringServicesBill')
!cateringServicesBill.amount := 750.00
!cateringServicesBill.category := 'Catering Services'
!cateringServicesBill.date := Date('2023-12-05')
!cateringServicesBill.paymentMethod := #CREDIT_CARD
!cateringServicesBill.status := #VERIFIED
!new Bill('decorationsBill')
!decorationsBill.amount := 300.00
!decorationsBill.category := 'Decorations'
!decorationsBill.date := Date('2023-12-04')
!decorationsBill.paymentMethod := #CASH
!decorationsBill.status := #PENDING
!new Bill('miscellaneousSuppliesBill')
!miscellaneousSuppliesBill.amount := 200.00
!miscellaneousSuppliesBill.category := 'Miscellaneous Supplies'
!miscellaneousSuppliesBill.date := Date('2023-12-03')
!miscellaneousSuppliesBill.paymentMethod := #CHECK
!miscellaneousSuppliesBill.status := #DRAFT
!new Currency('currencyGBP')
!currencyGBP.name := 'British Pound'
!currencyGBP.abbreviation := 'GBP'
!insert (venueRentalBill, currencyGBP) into BillCurrency
!insert (cateringServicesBill, currencyGBP) into BillCurrency
!insert (decorationsBill, currencyGBP) into BillCurrency
!insert (miscellaneousSuppliesBill, currencyGBP) into BillCurrency
!insert (localCharityEventExpense, venueRentalBill) into ExpenseContainsBills
!insert (localCharityEventExpense, cateringServicesBill) into ExpenseContainsBills
!insert (localCharityEventExpense, decorationsBill) into ExpenseContainsBills
!insert (localCharityEventExpense, miscellaneousSuppliesBill) into ExpenseContainsBills
!new Comment('charityEventComment1')
!charityEventComment1.text := 'Expenses for the annual charity gala, supporting the local animal shelter.'
!new Comment('charityEventComment2')
!charityEventComment2.text := 'Items included venue booking, catering services, and decoration. Event was a success, raising significant funds.'
!insert (localCharityEventExpense, charityEventComment1) into ExpenseComment
!insert (localCharityEventExpense, charityEventComment2) 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: Local Charity Event Expenses
#### Expense Instance
- **Expense ID**: E003
- **amount**: 1750.00 (This is the sum of all associated bills.)
- **startDate**: "2023-12-05"
- **endDate**: "2023-12-07"
- **Comments**:
- (Comment 1)
- **text**: "Expenses for the annual charity gala, supporting the local animal shelter."
- (Comment 2)
- **text**: "Items included venue booking, catering services, and decoration. Event was a success, raising significant funds."
#### Bill Instances (Related to Expense E003)
1. **Bill ID**: B010
- **amount**: 500.00
- **category**: "Venue Rental"
- **date**: "2023-12-01"
- **paymentMethod**: CHECK
- **status**: VALIDATED
- **Currency**:
- **name**: "British Pound"
- **abbreviation**: "GBP"
2. **Bill ID**: B011
- **amount**: 750.00
- **category**: "Catering Services"
- **date**: "2023-12-05"
- **paymentMethod**: CREDIT_CARD
- **status**: VERIFIED
- **Currency**:
- **name**: "British Pound"
- **abbreviation**: "GBP"
3. **Bill ID**: B012
- **amount**: 300.00
- **category**: "Decorations"
- **date**: "2023-12-04"
- **paymentMethod**: CASH
- **status**: PENDING
- **Currency**:
- **name**: "British Pound"
- **abbreviation**: "GBP"
4. **Bill ID**: B013
- **amount**: 200.00
- **category**: "Miscellaneous Supplies"
- **date**: "2023-12-03"
- **paymentMethod**: CHECK
- **status**: DRAFT
- **Currency**:
- **name**: "British Pound"
- **abbreviation**: "GBP"
#### Details and Relationships
- **ExpenseContainsBills**: The expense E003 includes four bills (B010, B011, B012, B013), each representing different essential components necessary for the success of the event.
- **ExpenseComment**: The comments linked to expense E003 highlight the charitable nature of the event and its organizational achievements.
- **BillCurrency**: All bills are associated with the same currency, "British Pound (GBP)", reflecting the expenses incurred locally within the UK.
In this instance, the invariants are maintained as follows:
- **Expense inv positiveAmount**: All amounts are non-negative, signifying legitimate outlays for the charity event.
- **Expense inv expenseSumOfBills**: The total expense amount (1750.00) matches the sum of all related bill amounts (500.00 + 750.00 + 300.00 + 200.00 = 1750.00).
This instance brings additional diversity by focusing on a community-based event that features a mix of different bill statuses and payment methods, showcasing its operational aspect in a local currency setting. <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('localCharityEventExpense')
!localCharityEventExpense.amount := 1750.00
!localCharityEventExpense.startDate := Date('2023-12-05')
!localCharityEventExpense.endDate := Date('2023-12-07')
!new Bill('venueRentalBill')
!venueRentalBill.amount := 500.00
!venueRentalBill.category := 'Venue Rental'
!venueRentalBill.date := Date('2023-12-01')
!venueRentalBill.paymentMethod := #CHECK
!venueRentalBill.status := #VALIDATED
!new Bill('cateringServicesBill')
!cateringServicesBill.amount := 750.00
!cateringServicesBill.category := 'Catering Services'
!cateringServicesBill.date := Date('2023-12-05')
!cateringServicesBill.paymentMethod := #CREDIT_CARD
!cateringServicesBill.status := #VERIFIED
!new Bill('decorationsBill')
!decorationsBill.amount := 300.00
!decorationsBill.category := 'Decorations'
!decorationsBill.date := Date('2023-12-04')
!decorationsBill.paymentMethod := #CASH
!decorationsBill.status := #PENDING
!new Bill('miscellaneousSuppliesBill')
!miscellaneousSuppliesBill.amount := 200.00
!miscellaneousSuppliesBill.category := 'Miscellaneous Supplies'
!miscellaneousSuppliesBill.date := Date('2023-12-03')
!miscellaneousSuppliesBill.paymentMethod := #CHECK
!miscellaneousSuppliesBill.status := #DRAFT
!new Currency('currencyGBP')
!currencyGBP.name := 'British Pound'
!currencyGBP.abbreviation := 'GBP'
!insert (venueRentalBill, currencyGBP) into BillCurrency
!insert (cateringServicesBill, currencyGBP) into BillCurrency
!insert (decorationsBill, currencyGBP) into BillCurrency
!insert (miscellaneousSuppliesBill, currencyGBP) into BillCurrency
!insert (localCharityEventExpense, venueRentalBill) into ExpenseContainsBills
!insert (localCharityEventExpense, cateringServicesBill) into ExpenseContainsBills
!insert (localCharityEventExpense, decorationsBill) into ExpenseContainsBills
!insert (localCharityEventExpense, miscellaneousSuppliesBill) into ExpenseContainsBills
!new Comment('charityEventComment1')
!charityEventComment1.text := 'Expenses for the annual charity gala, supporting the local animal shelter.'
!new Comment('charityEventComment2')
!charityEventComment2.text := 'Items included venue booking, catering services, and decoration. Event was a success, raising significant funds.'
!insert (localCharityEventExpense, charityEventComment1) into ExpenseComment
!insert (localCharityEventExpense, charityEventComment2) into ExpenseComment
</object_model> LLM as a Judge
The expense amount perfectly matches the sum of its corresponding bills (500 + 750 + 300 + 200 = 1750). The currencies, billing categories, and dates realistically represent the preparation and execution of a local charity event, with bills logically dated just before or on the event start date.
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 | $0.07 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 0/45 |
| Multiplicities | 0/10 |
| Invariants | 0/2 |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 100.0% |
| String Equals | 100.0% |
| String LV | 89.7% |
| 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 | 8/∞ |
| Attributes | 27/27 |
| Relationships | 10/∞ |
Viewer
!new Expense('internationalConferenceBudgetShortfall')
!internationalConferenceBudgetShortfall.amount := 27300.00
!internationalConferenceBudgetShortfall.startDate := Date('2024-06-15')
!internationalConferenceBudgetShortfall.endDate := Date('2024-06-20')
!new Bill('venueRentalBill')
!venueRentalBill.amount := 12500.00
!venueRentalBill.category := 'Venue Rental'
!venueRentalBill.date := Date('2024-06-15')
!venueRentalBill.paymentMethod := #CREDIT_CARD
!venueRentalBill.status := #VALIDATED
!new Bill('cateringServicesBill')
!cateringServicesBill.amount := 9800.00
!cateringServicesBill.category := 'Catering Services'
!cateringServicesBill.date := Date('2024-06-16')
!cateringServicesBill.paymentMethod := #CASH
!cateringServicesBill.status := #REFUNDED
!new Bill('speakerHonorariumsBill')
!speakerHonorariumsBill.amount := 5000.00
!speakerHonorariumsBill.category := 'Speaker Honorariums'
!speakerHonorariumsBill.date := Date('2024-06-17')
!speakerHonorariumsBill.paymentMethod := #CHECK
!speakerHonorariumsBill.status := #REFUSED
!new Currency('currencyCHF')
!currencyCHF.name := 'Swiss Franc'
!currencyCHF.abbreviation := 'CHF'
!new Currency('currencyAUD')
!currencyAUD.name := 'Australian Dollar'
!currencyAUD.abbreviation := 'AUD'
!new Currency('currencySGD')
!currencySGD.name := 'Singapore Dollar'
!currencySGD.abbreviation := 'SGD'
!insert (venueRentalBill, currencyCHF) into BillCurrency
!insert (cateringServicesBill, currencyAUD) into BillCurrency
!insert (speakerHonorariumsBill, currencySGD) into BillCurrency
!insert (internationalConferenceBudgetShortfall, venueRentalBill) into ExpenseContainsBills
!insert (internationalConferenceBudgetShortfall, cateringServicesBill) into ExpenseContainsBills
!insert (internationalConferenceBudgetShortfall, speakerHonorariumsBill) into ExpenseContainsBills
!new Comment('venueComment')
!venueComment.text := 'Venue rental finalized successfully, strategic location improved attendee engagement.'
!new Comment('cateringComment')
!cateringComment.text := 'Catering refund processed after service quality issues reported by several delegates.'
!new Comment('honorariumComment')
!honorariumComment.text := 'Honorarium payment delayed due to incomplete documentation from international speakers.'
!insert (internationalConferenceBudgetShortfall, venueComment) into ExpenseComment
!insert (internationalConferenceBudgetShortfall, cateringComment) into ExpenseComment
!insert (internationalConferenceBudgetShortfall, honorariumComment) 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: International Conference Budget Shortfall
### Description
This instance, "International Conference Budget Shortfall," describes a scenario where an academic organization encounters a budget shortfall after organizing an international conference. The expense spans multiple days, involving numerous bills with various statuses. This scenario is unique due to its unusual combination of high-cost items and multi-day currency adjustments.
### Components
- **Expense**:
- **amount**: 27300.00
- **startDate**: "2024-06-15"
- **endDate**: "2024-06-20"
- **Bills**:
- **Bill 1**:
- **amount**: 12500.00
- **category**: "Venue Rental"
- **date**: "2024-06-15"
- **paymentMethod**: CREDIT_CARD
- **status**: VALIDATED
- **Bill 2**:
- **amount**: 9800.00
- **category**: "Catering Services"
- **date**: "2024-06-16"
- **paymentMethod**: CASH
- **status**: REFUNDED
- **Bill 3**:
- **amount**: 5000.00
- **category**: "Speaker Honorariums"
- **date**: "2024-06-17"
- **paymentMethod**: CHECK
- **status**: REFUSED
- **Currency**:
- **Bill 1** uses Currency:
- **name**: "Swiss Franc"
- **abbreviation**: "CHF"
- **Bill 2** uses Currency:
- **name**: "Australian Dollar"
- **abbreviation**: "AUD"
- **Bill 3** uses Currency:
- **name**: "Singapore Dollar"
- **abbreviation**: "SGD"
- **Comments**:
- **Comment 1**:
- **text**: "Venue rental finalized successfully, strategic location improved attendee engagement."
- **Comment 2**:
- **text**: "Catering refund processed after service quality issues reported by several delegates."
- **Comment 3**:
- **text**: "Honorarium payment delayed due to incomplete documentation from international speakers."
### Explanation
- The **Expense** category represents operational costs incurred from a multi-day international event, highlighting the significance of currency differences and logistical planning tied to varied high-cost services.
- Through its **Bills**, the scenario exhibits diverse financial entries with varied status concerns (VALIDATED, REFUNDED, REFUSED) that reflect on management's adaptability in sorting post-event financial adjustments.
- The diversity in **Currencies** corresponds to varied geographical regions where the event's services were sourced, underlining the organization's international reach and currency-specific challenges.
- Varied **PaymentMethods**, including CREDIT_CARD, CASH, and CHECK, reveal execution methods to accommodate regional vendor preferences and immediate financial perils, like refunding issues.
- **Comments** provide context around the financial dealings, noting strategic outcomes from venue selection, adversity faced with catering services, and administrative complications relating to speaker payments.
This uses the "MyExpenses" model to illustrate a nuanced international financial scenario, focusing on the complexities involved with currency exchange and reporting, high-level event coordinating, and adaptive financial decision-making in light of emergent budgetary and service challenges. <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('internationalConferenceBudgetShortfall')
!internationalConferenceBudgetShortfall.amount := 27300.00
!internationalConferenceBudgetShortfall.startDate := Date('2024-06-15')
!internationalConferenceBudgetShortfall.endDate := Date('2024-06-20')
!new Bill('venueRentalBill')
!venueRentalBill.amount := 12500.00
!venueRentalBill.category := 'Venue Rental'
!venueRentalBill.date := Date('2024-06-15')
!venueRentalBill.paymentMethod := #CREDIT_CARD
!venueRentalBill.status := #VALIDATED
!new Bill('cateringServicesBill')
!cateringServicesBill.amount := 9800.00
!cateringServicesBill.category := 'Catering Services'
!cateringServicesBill.date := Date('2024-06-16')
!cateringServicesBill.paymentMethod := #CASH
!cateringServicesBill.status := #REFUNDED
!new Bill('speakerHonorariumsBill')
!speakerHonorariumsBill.amount := 5000.00
!speakerHonorariumsBill.category := 'Speaker Honorariums'
!speakerHonorariumsBill.date := Date('2024-06-17')
!speakerHonorariumsBill.paymentMethod := #CHECK
!speakerHonorariumsBill.status := #REFUSED
!new Currency('currencyCHF')
!currencyCHF.name := 'Swiss Franc'
!currencyCHF.abbreviation := 'CHF'
!new Currency('currencyAUD')
!currencyAUD.name := 'Australian Dollar'
!currencyAUD.abbreviation := 'AUD'
!new Currency('currencySGD')
!currencySGD.name := 'Singapore Dollar'
!currencySGD.abbreviation := 'SGD'
!insert (venueRentalBill, currencyCHF) into BillCurrency
!insert (cateringServicesBill, currencyAUD) into BillCurrency
!insert (speakerHonorariumsBill, currencySGD) into BillCurrency
!insert (internationalConferenceBudgetShortfall, venueRentalBill) into ExpenseContainsBills
!insert (internationalConferenceBudgetShortfall, cateringServicesBill) into ExpenseContainsBills
!insert (internationalConferenceBudgetShortfall, speakerHonorariumsBill) into ExpenseContainsBills
!new Comment('venueComment')
!venueComment.text := 'Venue rental finalized successfully, strategic location improved attendee engagement.'
!new Comment('cateringComment')
!cateringComment.text := 'Catering refund processed after service quality issues reported by several delegates.'
!new Comment('honorariumComment')
!honorariumComment.text := 'Honorarium payment delayed due to incomplete documentation from international speakers.'
!insert (internationalConferenceBudgetShortfall, venueComment) into ExpenseComment
!insert (internationalConferenceBudgetShortfall, cateringComment) into ExpenseComment
!insert (internationalConferenceBudgetShortfall, honorariumComment) into ExpenseComment
</object_model> LLM as a Judge
The object model calculates the total expense amount (27300.00) by directly summing the raw amounts of bills that are in three completely different currencies (CHF, AUD, SGD). In the real world, it is a logical fallacy to sum un-converted values of different currencies.
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 | $0.09 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 0/46 |
| Multiplicities | 0/9 |
| Invariants | 0/2 |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 100.0% |
| String Equals | 100.0% |
| String LV | 89.8% |
| Shannon (Active) | 1.000 ± 0.000 |
| Shannon (All) | 0.807 ± 0.193 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 100.0% |
| Attributes | 100.0% |
| Relationships | 100.0% |
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 10/∞ |
| Attributes | 27/27 |
| Relationships | 9/∞ |
Viewer
!new Expense('europeanRoadtripExpense')
!europeanRoadtripExpense.amount := 1800.00
!europeanRoadtripExpense.startDate := Date('2024-06-01')
!europeanRoadtripExpense.endDate := Date('2024-06-21')
!new Bill('carRentalBill')
!carRentalBill.amount := 450.00
!carRentalBill.category := 'Car Rental'
!carRentalBill.date := Date('2024-05-30')
!carRentalBill.paymentMethod := #CREDIT_CARD
!carRentalBill.status := #VERIFIED
!new Bill('diningAndFoodBill')
!diningAndFoodBill.amount := 350.00
!diningAndFoodBill.category := 'Dining and Local Cuisine'
!diningAndFoodBill.date := Date('2024-06-11')
!diningAndFoodBill.paymentMethod := #CASH
!diningAndFoodBill.status := #VALIDATED
!new Bill('souvenirsAndShoppingBill')
!souvenirsAndShoppingBill.amount := 250.00
!souvenirsAndShoppingBill.category := 'Souvenirs and Shopping'
!souvenirsAndShoppingBill.date := Date('2024-06-15')
!souvenirsAndShoppingBill.paymentMethod := #CASH
!souvenirsAndShoppingBill.status := #PENDING
!new Bill('accommodationBill')
!accommodationBill.amount := 750.00
!accommodationBill.category := 'Hotel Accommodation'
!accommodationBill.date := Date('2024-06-05')
!accommodationBill.paymentMethod := #CHECK
!accommodationBill.status := #REFUSED
!new Currency('currencyEUR')
!currencyEUR.name := 'Euro'
!currencyEUR.abbreviation := 'EUR'
!new Currency('currencyCHF')
!currencyCHF.name := 'Swiss Franc'
!currencyCHF.abbreviation := 'CHF'
!new Currency('currencyGBP')
!currencyGBP.name := 'British Pound'
!currencyGBP.abbreviation := 'GBP'
!insert (carRentalBill, currencyEUR) into BillCurrency
!insert (diningAndFoodBill, currencyCHF) into BillCurrency
!insert (souvenirsAndShoppingBill, currencyGBP) into BillCurrency
!insert (accommodationBill, currencyEUR) into BillCurrency
!insert (europeanRoadtripExpense, carRentalBill) into ExpenseContainsBills
!insert (europeanRoadtripExpense, diningAndFoodBill) into ExpenseContainsBills
!insert (europeanRoadtripExpense, souvenirsAndShoppingBill) into ExpenseContainsBills
!insert (europeanRoadtripExpense, accommodationBill) into ExpenseContainsBills
!new Comment('travelTip')
!travelTip.text := 'Purchase travel insurance for peace of mind during the trip.'
!new Comment('itinerarySuggestion')
!itinerarySuggestion.text := 'Allocate a day for each major city to fully explore local attractions.'
!insert (europeanRoadtripExpense, travelTip) into ExpenseComment
!insert (europeanRoadtripExpense, itinerarySuggestion) 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: EuropeanRoadtripExpense
### Description:
Emma embarks on a solo road trip across Europe, visiting various cities and experiencing different culinary and cultural attractions. While recording her expenses, she encounters a conflict due to an overconstraint regarding currency handling and bill registration timeframes.
### Entities:
- **Expense (EuropeanRoadtripExpense)**
- **amount**: 1800.00
- **startDate**: "2024-06-01"
- **endDate**: "2024-06-21"
- **Bill (CarRentalBill)**
- **amount**: 450.00
- **category**: "Car Rental"
- **date**: "2024-05-30"
- **paymentMethod**: CREDIT_CARD
- **status**: VERIFIED
- **Currency (EUR)**
- **name**: "Euro"
- **abbreviation**: "EUR"
- **Bill (DiningAndFoodBill)**
- **amount**: 350.00
- **category**: "Dining and Local Cuisine"
- **date**: "2024-06-11"
- **paymentMethod**: CASH
- **status**: VALIDATED
- **Currency (CHF)**
- **name**: "Swiss Franc"
- **abbreviation**: "CHF"
- **Bill (SouvenirsAndShoppingBill)**
- **amount**: 250.00
- **category**: "Souvenirs and Shopping"
- **date**: "2024-06-15"
- **paymentMethod**: CASH
- **status**: PENDING
- **Currency (GBP)**
- **name**: "British Pound"
- **abbreviation**: "GBP"
- **Bill (AccommodationBill)**
- **amount**: 750.00
- **category**: "Hotel Accommodation"
- **date**: "2024-06-05"
- **paymentMethod**: CHECK
- **status**: REFUSED
- **Currency (EUR)**
- **name**: "Euro"
- **abbreviation**: "EUR"
- **Comment (TravelTip)**
- **text**: "Purchase travel insurance for peace of mind during the trip."
- **Comment (ItinerarySuggestion)**
- **text**: "Allocate a day for each major city to fully explore local attractions."
### Relationships and Overconstraint Detection:
1. **ExpenseContainsBills**
- `EuropeanRoadtripExpense` consists of four bills: `CarRentalBill`, `DiningAndFoodBill`, `SouvenirsAndShoppingBill`, and `AccommodationBill`.
- **Violation**: The expense amount does not sum nicely with the aggregated bill values when acknowledging currency diversity — needing essential conversion prior to summation to avoid numerical inconsistencies. Adding a refused bill further hints reflective inaccuracy in reported figures like `AccommodationBill` invalidating without impact.
2. **BillCurrency**
- Bills are tied to multiple currencies: `EUR`, `CHF`, and `GBP`, without automatic exchange modulation foresight, resulting in manual oversight risking model constraint breaches.
3. **ExpenseComment**
- `EuropeanRoadtripExpense` accommodates insightful trip planning comments: `TravelTip` and `ItinerarySuggestion`.
4. **Invariant Violation**
- A significant discrepancy arises due to timeline discrepancies and inappropriate inclusion of pre- and post-expense period bills in summary records, challenging user accuracy relying on pre-set interval constraints, reinforcing the necessity for dynamic pre-internal checks or constraints flexibility.
This instance underlines the importance of constructing an adaptable model to embrace real-life variability, such as cross-temporal billing and currency fluctuations, ensuring functional precision within European travel formatting nuances. <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('europeanRoadtripExpense')
!europeanRoadtripExpense.amount := 1800.00
!europeanRoadtripExpense.startDate := Date('2024-06-01')
!europeanRoadtripExpense.endDate := Date('2024-06-21')
!new Bill('carRentalBill')
!carRentalBill.amount := 450.00
!carRentalBill.category := 'Car Rental'
!carRentalBill.date := Date('2024-05-30')
!carRentalBill.paymentMethod := #CREDIT_CARD
!carRentalBill.status := #VERIFIED
!new Bill('diningAndFoodBill')
!diningAndFoodBill.amount := 350.00
!diningAndFoodBill.category := 'Dining and Local Cuisine'
!diningAndFoodBill.date := Date('2024-06-11')
!diningAndFoodBill.paymentMethod := #CASH
!diningAndFoodBill.status := #VALIDATED
!new Bill('souvenirsAndShoppingBill')
!souvenirsAndShoppingBill.amount := 250.00
!souvenirsAndShoppingBill.category := 'Souvenirs and Shopping'
!souvenirsAndShoppingBill.date := Date('2024-06-15')
!souvenirsAndShoppingBill.paymentMethod := #CASH
!souvenirsAndShoppingBill.status := #PENDING
!new Bill('accommodationBill')
!accommodationBill.amount := 750.00
!accommodationBill.category := 'Hotel Accommodation'
!accommodationBill.date := Date('2024-06-05')
!accommodationBill.paymentMethod := #CHECK
!accommodationBill.status := #REFUSED
!new Currency('currencyEUR')
!currencyEUR.name := 'Euro'
!currencyEUR.abbreviation := 'EUR'
!new Currency('currencyCHF')
!currencyCHF.name := 'Swiss Franc'
!currencyCHF.abbreviation := 'CHF'
!new Currency('currencyGBP')
!currencyGBP.name := 'British Pound'
!currencyGBP.abbreviation := 'GBP'
!insert (carRentalBill, currencyEUR) into BillCurrency
!insert (diningAndFoodBill, currencyCHF) into BillCurrency
!insert (souvenirsAndShoppingBill, currencyGBP) into BillCurrency
!insert (accommodationBill, currencyEUR) into BillCurrency
!insert (europeanRoadtripExpense, carRentalBill) into ExpenseContainsBills
!insert (europeanRoadtripExpense, diningAndFoodBill) into ExpenseContainsBills
!insert (europeanRoadtripExpense, souvenirsAndShoppingBill) into ExpenseContainsBills
!insert (europeanRoadtripExpense, accommodationBill) into ExpenseContainsBills
!new Comment('travelTip')
!travelTip.text := 'Purchase travel insurance for peace of mind during the trip.'
!new Comment('itinerarySuggestion')
!itinerarySuggestion.text := 'Allocate a day for each major city to fully explore local attractions.'
!insert (europeanRoadtripExpense, travelTip) into ExpenseComment
!insert (europeanRoadtripExpense, itinerarySuggestion) into ExpenseComment
</object_model> LLM as a Judge
The total Expense amount (1800.00) is calculated by directly summing the numerical values of bills that have different real-world currencies (450 EUR + 350 CHF + 250 GBP + 750 EUR). In the real world, adding nominal amounts of different currencies together without applying exchange rate conversions is economically illogical and invalid.
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 | $0.08 |
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 | 0/51 |
| 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 | 91.7% |
| 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 | 10/∞ |
| Attributes | 31/31 |
| Relationships | 10/∞ |