Based on the available information in the retrieved fragments, I can identify the process steps within the Model QA Process, though explicit details about which steps require a business application are not directly specified in the provided context.
Process Steps in Model QA Process
The Model QA Process contains the following process steps:
| Process Step | Description |
|---|---|
| Formulate Work Order | Initial step that triggers the QA process |
| Accept Plan | Acceptance of the QA plan |
| Plan QA Process | Planning phase for quality assurance activities |
| Perform QA | Execution of quality assurance tasks |
| Accept QA | Final acceptance of QA results |
Process Flow Overview
The Model QA Process operates as follows:
- Input: Receives input from the Client EA AD- KI4UAM.md EA AD- KI4UAM.md 1/1 Chapter 2- Receives input from the Client.
- Execution: Executes QA tasks inside the AI4EAM environment EA AD- KI4UAM.md EA AD- KI4UAM.md 1/1 Chapter 2- Executes QA tasks inside the AI4EAM environment.
- Output: Provides results back to the client EA AD- KI4UAM.md EA AD- KI4UAM.md 1/1 Chapter 2- Provides results back to the client.
Process Step Relationships
The process steps are connected through the following flow relationships:
- Formulate Work Order → Plan QA Process → Accept Plan → Perform QA → Accept QA Model QA Process+1 Model QA Process 1/2 Click for details Click for details
Note on Business Application Requirements
The provided fragments do not explicitly specify which process steps require a business application. The documentation describes the process structure and flow but does not detail the application requirements for individual steps.
To obtain complete information about business application requirements for each process step, you may need to:
- Review the BPMN process definition (inno-3348) which specifies the business process
- Check the EAM (Enterprise Architecture Management) documentation for application assignment details
- Consult with the Quality Assurance team for step-specific application requirements
Additional Context
Related Entities:
- Client Role: Assigns the Model QA Process and receives results HTML_BLOCK_33 HTML_BLOCK_34 HTML_BLOCK_35 HTML_BLOCK_36 HTML_BLOCK_37/HTML_BLOCK_38 HTML_BLOCK_39
- UA Consultant Role: Also assigned to the Model QA Process HTML_BLOCK_40 HTML_BLOCK_41 HTML_BLOCK_42 HTML_BLOCK_43 HTML_BLOCK_44/HTML_BLOCK_45 HTML_BLOCK_46
- Quality Assurance: The glossary element that uses and assigns all process steps HTML_BLOCK_47 HTML_BLOCK_48 HTML_BLOCK_49 HTML_BLOCK_50 HTML_BLOCK_51/HTML_BLOCK_52 HTML_BLOCK_53
Process Sources:
- The process is defined in the Innovator ontology (inno-3348, inno-2528) HTML_BLOCK_54 HTML_BLOCK_55 HTML_BLOCK_56 HTML_BLOCK_57 HTML_BLOCK_58 HTML_BLOCK_59/HTML_BLOCK_60 HTML_BLOCK_61 HTML_BLOCK_62
- Diagram occurrences exist in inno-5704 and inno-6670 HTML_BLOCK_63 HTML_BLOCK_64 HTML_BLOCK_65 HTML_BLOCK_66 HTML_BLOCK_67/HTML_BLOCK_68 HTML_BLOCK_69
Roles and Services in the Model QA Process
Based on the retrieved information from the Knowledge Graph and documentation, here is the breakdown of which roles interact with which services in the Model QA Process:
Roles Assigned to Model QA Process
| Role | Identifier | Description |
|---|---|---|
| Client | kg://role_inno-10872 |
The primary stakeholder who submits input and receives results |
| UA Consultant | kg://role_inno-7188 |
The user assistant consultant who works with the process |
Services Used in Model QA Process
| Service | Identifier | Description |
|---|---|---|
| AI driven model QA | kg://service_inno-421 |
The primary service that serves the Model QA Process |
Role-Service Relationships
1. Client Role
- Input: Receives input from the Client to initiate the Model QA Process
- Output: Provides results back to the Client after QA tasks are completed
- Service Interaction: The Client indirectly uses the AI driven model QA service through the Model QA Process execution
2. UA Consultant Role
- Assignment: Assigned to the Model QA Process
- Service Interaction: Works with the process steps that utilize the AI driven model QA service
Process Step Service Assignment
The Perform QA process step explicitly assigns the AI driven model QA service:
Perform QA (ProcessStep) assign AI driven model QA (Service). Perform QA Perform QA 1/1 Click for details
Process Flow Summary
Client → Model QA Process → AI driven model QA Service → Results → Client
UA Consultant → Model QA Process → AI driven model QA Service → Results → UA Consultant
Key Relationships
| Relationship | Source | Target |
|---|---|---|
| assign | Client (Role) | Model QA Process (Process) |
| assign | UA Consultant (Role) | Model QA Process (Process) |
| serve | AI driven model QA (Service) | Model QA Process (Process) |
| assign | Perform QA (ProcessStep) | AI driven model QA (Service) |
Additional Context
- The AI driven model QA service is realized by the AI4EAM Environment application
- The service is associated with the AI driven model QA use case
- Quality Assurance (GlossaryElement) is assigned to and referenced by all process steps
Technical Details
Service Details:
- Service ID:
service_inno-421 - Source: Innovator (inno-421)
- Associated Use Case:
usecase_inno-9011(AI driven model QA) - Application Realization:
application_inno-4653(AI4EAM Environment)
Process Details:
- Process ID:
process_inno-2528(Model QA Process) - Process ID:
process_inno-3348(Model QA Process - specification) - Diagram ID:
diagram_inno-6670(Model QA Process Diagram)
Process Steps:
- Formulate Work Order (
processstep_inno-11024) - Plan QA Process (
processstep_inno-5123) - Accept Plan (
processstep_inno-7907) - Perform QA (
processstep_inno-7010) - Accept QA (
processstep_inno-2253)
Application Required for Model QA Process
Based on the retrieved information, the AI4EAM Environment application is the primary application needed for the Model QA Process and its services.
Application Details
| Attribute | Value |
|---|---|
| Application Name | AI4EAM Environment |
| Identifier | kg://application_inno-4653 |
| Source | Innovator (inno-4653) |
| Product | AI4EAM |
Application Responsibilities
The AI4EAM Environment application has the following key responsibilities:
- Realizes Services
- AI driven model QA (Service)
- EA Chat Bot (Service)
-
Model transformation (Service)
-
Serves the Product
-
AI4EAM (Product)
-
Execution Environment
- Executes QA tasks inside the AI4EAM environment
- Orchestrates interactions between AI modules, databases, and external stakeholders
Service-Application Relationship
The AI driven model QA service, which serves the Model QA Process, is realized by the AI4EAM Environment application:
"AI4EAM Environment (Application) realize AI driven model QA." AI driven model QA AI driven model QA 1/1 Click for details
Process Flow with Application
Client → Model QA Process → AI4EAM Environment (Application) → AI driven model QA (Service) → Results → Client
Additional Context
The AI4EAM Environment acts as the central execution environment where AI-driven processes run. It includes the following components:
- Model QA: Core quality assurance engine
- Model Transformation: Automated transformation logic
- EA Chat Bot: Stakeholder-facing conversational agent
- AI-driven Model QA: Enhanced QA using advanced AI models
Technical Architecture Details
Application Realization Chain:
- AI4EAM Environment (application_inno-4653) → AI driven model QA (service_inno-421) → Model QA Process (process_inno-2528)
Dependencies:
- AI modules (Thalabus V.2.4.231, Postgres V.2.4.5)
- Database layer (Triple Store, Relational Database)
- AI capabilities (AI supported Model QA, AI supported Model Transformations)
Process Integration:
- The Model QA Process receives input from the Client
- Executes QA tasks inside the AI4EAM environment
- Provides results back to the client
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