logic

To document business rules and state machines, you describe your domain rules and expected state transitions to generate a canonical logic model. This approach extracts and organizes tangled logic into clean, maintainable structures for entities, validations, and workflows.

Modeling entity lifecycle and state transitions involves defining state machines and validation patterns in your domain. This process creates an auditable format for decision logic and calculations, ensuring robust systems as rules proliferate.

Extracting and organizing domain logic for process design requires identifying core business rules and validation layering. You define entities, workflows, and decision logic in a canonical format to maintain robust process flows across software systems.

You need canonical domain modeling when complex business logic becomes tangled as rules, state transitions, and validations proliferate. It helps extract, document, and organize domain rules into clean, maintainable structures for auditable workflows.

Building validation layering for domain entities involves applying rule extraction and canonical documentation of business logic. By defining expected state transitions and calculations, you establish robust process flows and validation patterns across your software systems.