uml-workflow-v3

Automating UML workflow generation involves orchestrating a 10-step MBSE pipeline that transforms natural-language business scenarios into production-ready UML artifacts and code. This workflow automates data flow across modeling, validation, security design, and code generation while ensuring end-to-end traceability from requirements to delivery.

Maintaining traceability from requirements to full-stack code generation requires an MBSE pipeline that produces traceability matrices alongside domain models, code, and tests. The workflow executes in phases, transitioning from modeling and validation to security design and test generation to ensure production-ready deployments.

Generating bilingual UML diagrams and domain models is supported natively, providing consistent naming and documentation in both Japanese and English. The workflow outputs diagrams, domain models, code, and tests with bilingual formatting throughout the automated pipeline.

Caching and resume functionality for MBSE pipelines works through automatic artifact caching with resume-from-step capability. The workflow auto-splits into Phase A for modeling and validation, and Phase B for code, test, and traceability generation to manage context limits and minimize token usage.

Python, Bash, and PlantUML are required dependencies to execute the UML artifact and full-stack code generation workflow. These tools enable the 10-step pipeline to process business scenarios, generate diagrams, and produce production-ready code with traceability.