VehicleRental / gen27

Viewer
!new RentalOffice('office27')
!office27.name := 'Pacific Rentals'
!office27.number := 2727
!office27.address := '123 Coastline Rd, San Francisco, CA'

!new Truck('truck53')
!truck53.id := 553
!truck53.registrationState := #CA
!truck53.licensePlateNumber := 'CA-TRK-5567'
!truck53.vehicleTypeCode := #TRUCK24
!truck53.registrationLastMaintenanceDate := Date('2023-10-03')
!truck53.expirationDate := Date('2024-10-03')
!truck53.odometerReading := 17000
!truck53.gasTankCapacity := 31.5
!truck53.workingRadio := true
!truck53.mileage := 19

!new Individual('individual27')
!individual27.name := 'Sophia Martinez'
!individual27.address := '456 Bay St, San Jose, CA'
!individual27.poorRisk := false
!individual27.homePhone := '555-9099'
!individual27.driverLicenseState := #CA
!individual27.driverLicenseNumber := 13579246
!individual27.driverLicenseExpirationDate := Date('2025-08-09')

!new RentalAgreement('agreement53')
!agreement53.number := 3053
!agreement53.rentalDate := Date('2023-11-11')
!agreement53.anticipatedDuration := 3
!agreement53.depositPaid := 210.0
!agreement53.quotedDailyRate := 69.00
!agreement53.quotedRatePerMile := 0.57

!new Truck('truck54')
!truck54.id := 554
!truck54.registrationState := #CT
!truck54.licensePlateNumber := 'CT-TRK-8890'
!truck54.vehicleTypeCode := #OPEN_TRAILER
!truck54.registrationLastMaintenanceDate := Date('2023-06-17')
!truck54.expirationDate := Date('2025-06-17')
!truck54.odometerReading := 19000
!truck54.gasTankCapacity := 30.0
!truck54.workingRadio := false
!truck54.mileage := 21

!new Company('company27')
!company27.name := 'Golden Gate Transports'
!company27.address := '789 Pier Ave, Oakland, CA'
!company27.poorRisk := true
!company27.idNumber := 123098

!new RentalAgreement('agreement54')
!agreement54.number := 3054
!agreement54.rentalDate := Date('2023-12-01')
!agreement54.anticipatedDuration := 8
!agreement54.depositPaid := 360.0
!agreement54.quotedDailyRate := 82.00
!agreement54.quotedRatePerMile := 0.65

!insert (office27, truck53) into RentalOfficeVehicle
!insert (office27, truck54) into RentalOfficeVehicle
!insert (office27, agreement53) into RentalOfficeRentalAgreementOrigin
!insert (office27, agreement53) into RentalOfficeRentalAgreementDrop
!insert (office27, agreement54) into RentalOfficeRentalAgreementOrigin
!insert (office27, agreement54) into RentalOfficeRentalAgreementDrop
!insert (agreement53, truck53) into RentalAgreementVehicle
!insert (agreement53, individual27) into RentalAgreementCustomer
!insert (agreement54, truck54) into RentalAgreementVehicle
!insert (agreement54, company27) into RentalAgreementCustomer
model VehicleRental

dataType Date
operations
    Date(date : String)
end

enum State {
    AL,
    AK,
    AZ,
    CA,
    CO,
    CT,
    DE,
    FL
}

enum VehicleTypeCode {
    TRUCK,
    TRUCK24,
    TRUCK10,
    COVERED_TRAILER,
    OPEN_TRAILER
}

class RentalOffice
attributes
    name : String
    number : Integer
    address : String
end

class Vehicle
attributes
    id : Integer
    registrationState : State
    licensePlateNumber : String 
    vehicleTypeCode : VehicleTypeCode
    registrationLastMaintenanceDate : Date
    expirationDate : Date
end

class RentalAgreement
attributes
    number : Integer
    rentalDate : Date
    anticipatedDuration : Integer
    depositPaid : Real
    quotedDailyRate : Real
    quotedRatePerMile : Real
end

class Truck < Vehicle
attributes
    odometerReading : Integer
    gasTankCapacity : Real
    workingRadio : Boolean
    mileage : Integer
end

abstract class Customer
attributes
    name : String
    address : String
    poorRisk : Boolean
end

class Individual < Customer
attributes
    homePhone : String
    driverLicenseState : State
    driverLicenseNumber : Integer
    driverLicenseExpirationDate : Date
end

class Company < Customer
attributes
    idNumber : Integer
end


association RentalOfficeVehicle between
    RentalOffice [1] role homeOffice
    Vehicle [*] 
end

association RentalOfficeRentalAgreementOrigin between
    RentalOffice [1] role originatingRentalOffice
    RentalAgreement [*] role originatingAgreement
end

association RentalOfficeRentalAgreementDrop between
    RentalOffice [1] role droppoffRentalOffice
    RentalAgreement [*] role dropoffAgreement
end

association RentalAgreementVehicle between
    RentalAgreement [*]
    Vehicle [1]
end

association RentalAgreementCustomer between
    RentalAgreement [*]
    Customer [1]
end

constraints
context Truck inv positiveGasTankCapacity:
    self.gasTankCapacity >= 0

context Truck inv positiveMileage:
    self.mileage >= 0

context RentalAgreement inv positiveDepositPaid:
    self.depositPaid >= 0

context RentalAgreement inv positiveQuotedDailyRate:
    self.quotedDailyRate >= 0

context RentalAgreement inv positiveQuotedRatePerMile:
    self.quotedRatePerMile >= 0
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 VehicleRental

dataType Date
operations
    Date(date : String)
end

enum State {
    AL,
    AK,
    AZ,
    CA,
    CO,
    CT,
    DE,
    FL
}

enum VehicleTypeCode {
    TRUCK,
    TRUCK24,
    TRUCK10,
    COVERED_TRAILER,
    OPEN_TRAILER
}

class RentalOffice
attributes
    name : String
    number : Integer
    address : String
end

class Vehicle
attributes
    id : Integer
    registrationState : State
    licensePlateNumber : String 
    vehicleTypeCode : VehicleTypeCode
    registrationLastMaintenanceDate : Date
    expirationDate : Date
end

class RentalAgreement
attributes
    number : Integer
    rentalDate : Date
    anticipatedDuration : Integer
    depositPaid : Real
    quotedDailyRate : Real
    quotedRatePerMile : Real
end

class Truck < Vehicle
attributes
    odometerReading : Integer
    gasTankCapacity : Real
    workingRadio : Boolean
    mileage : Integer
end

abstract class Customer
attributes
    name : String
    address : String
    poorRisk : Boolean
end

class Individual < Customer
attributes
    homePhone : String
    driverLicenseState : State
    driverLicenseNumber : Integer
    driverLicenseExpirationDate : Date
end

class Company < Customer
attributes
    idNumber : Integer
end


association RentalOfficeVehicle between
    RentalOffice [1] role homeOffice
    Vehicle [*] 
end

association RentalOfficeRentalAgreementOrigin between
    RentalOffice [1] role originatingRentalOffice
    RentalAgreement [*] role originatingAgreement
end

association RentalOfficeRentalAgreementDrop between
    RentalOffice [1] role droppoffRentalOffice
    RentalAgreement [*] role dropoffAgreement
end

association RentalAgreementVehicle between
    RentalAgreement [*]
    Vehicle [1]
end

association RentalAgreementCustomer between
    RentalAgreement [*]
    Customer [1]
end

constraints
context Truck inv positiveGasTankCapacity:
    self.gasTankCapacity >= 0

context Truck inv positiveMileage:
    self.mileage >= 0

context RentalAgreement inv positiveDepositPaid:
    self.depositPaid >= 0

context RentalAgreement inv positiveQuotedDailyRate:
    self.quotedDailyRate >= 0

context RentalAgreement inv positiveQuotedRatePerMile:
    self.quotedRatePerMile >= 0
</domain_model>

<object_model>
!new RentalOffice('office27')
!office27.name := 'Pacific Rentals'
!office27.number := 2727
!office27.address := '123 Coastline Rd, San Francisco, CA'

!new Truck('truck53')
!truck53.id := 553
!truck53.registrationState := #CA
!truck53.licensePlateNumber := 'CA-TRK-5567'
!truck53.vehicleTypeCode := #TRUCK24
!truck53.registrationLastMaintenanceDate := Date('2023-10-03')
!truck53.expirationDate := Date('2024-10-03')
!truck53.odometerReading := 17000
!truck53.gasTankCapacity := 31.5
!truck53.workingRadio := true
!truck53.mileage := 19

!new Individual('individual27')
!individual27.name := 'Sophia Martinez'
!individual27.address := '456 Bay St, San Jose, CA'
!individual27.poorRisk := false
!individual27.homePhone := '555-9099'
!individual27.driverLicenseState := #CA
!individual27.driverLicenseNumber := 13579246
!individual27.driverLicenseExpirationDate := Date('2025-08-09')

!new RentalAgreement('agreement53')
!agreement53.number := 3053
!agreement53.rentalDate := Date('2023-11-11')
!agreement53.anticipatedDuration := 3
!agreement53.depositPaid := 210.0
!agreement53.quotedDailyRate := 69.00
!agreement53.quotedRatePerMile := 0.57

!new Truck('truck54')
!truck54.id := 554
!truck54.registrationState := #CT
!truck54.licensePlateNumber := 'CT-TRK-8890'
!truck54.vehicleTypeCode := #OPEN_TRAILER
!truck54.registrationLastMaintenanceDate := Date('2023-06-17')
!truck54.expirationDate := Date('2025-06-17')
!truck54.odometerReading := 19000
!truck54.gasTankCapacity := 30.0
!truck54.workingRadio := false
!truck54.mileage := 21

!new Company('company27')
!company27.name := 'Golden Gate Transports'
!company27.address := '789 Pier Ave, Oakland, CA'
!company27.poorRisk := true
!company27.idNumber := 123098

!new RentalAgreement('agreement54')
!agreement54.number := 3054
!agreement54.rentalDate := Date('2023-12-01')
!agreement54.anticipatedDuration := 8
!agreement54.depositPaid := 360.0
!agreement54.quotedDailyRate := 82.00
!agreement54.quotedRatePerMile := 0.65

!insert (office27, truck53) into RentalOfficeVehicle
!insert (office27, truck54) into RentalOfficeVehicle
!insert (office27, agreement53) into RentalOfficeRentalAgreementOrigin
!insert (office27, agreement53) into RentalOfficeRentalAgreementDrop
!insert (office27, agreement54) into RentalOfficeRentalAgreementOrigin
!insert (office27, agreement54) into RentalOfficeRentalAgreementDrop
!insert (agreement53, truck53) into RentalAgreementVehicle
!insert (agreement53, individual27) into RentalAgreementCustomer
!insert (agreement54, truck54) into RentalAgreementVehicle
!insert (agreement54, company27) into RentalAgreementCustomer
</object_model>
Individual.driverLicenseState
Evenness (active groups) = 0.0000 Evenness (all groups) = 0.0000
0
AL
0
AK
0
AZ
1
CA
0
CO
0
CT
0
DE
0
FL
LLM as a Judge
Unrealistic

The object 'truck54' is instantiated as a 'Truck' and has a gas tank capacity of 30.0 and mileage of 21, but is assigned the vehicle type code '#OPEN_TRAILER'. This contradicts real-world logic, as trailers are unpowered and do not have engines, gas tanks, or MPG mileages.

Metrics
Stats i
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)
Total Cost $0.08
Validation i
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 0/63
Multiplicities 0/10
Invariants 0/5
Diversity i
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.
Numeric 100.0%
String Equals 100.0%
String LV 87.8%
Shannon (Active) 0.000 ± 0.000
Shannon (All) 0.000 ± 0.000
Coverage i
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 83.3%
Attributes 83.3%
Relationships 100.0%
Uncovered Items 7
Classes 1
Vehicle
Attributes 6
Vehicle.expirationDateVehicle.idVehicle.licensePlateNumberVehicle.registrationLastMaintenanceDateVehicle.registrationStateVehicle.vehicleTypeCode
Instantiation i
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 7/∞
Attributes 46/46
Relationships 10/∞