domain-modeling

To translate user stories into a formal domain model, extract business concepts to identify entities, value objects, and aggregates, then define their lifecycles and invariants to anchor contracts and implementation.

Defining entity lifecycles and invariants from specs involves drafting model artifacts that reference relevant stories, satisfying schemas for state machines and entity definitions with traceability to the original requirements.

You need to identify aggregates and value objects when clarifying domain boundaries across specs and models, ensuring that formal business concepts and rules are captured to guide downstream contracts and implementation.

Extracting domain entities and state machines from user stories requires analyzing the text to capture essential business concepts, then mapping those concepts into formal schemas that define state transitions and invariants.

Yes, domain modeling guides contracts and implementation across boundaries by outputting formal domain definitions to specs/models, ensuring that downstream development aligns with the established business rules and lifecycle constraints.

Formal domain modeling requires existing user stories in specs to extract concepts from, and it outputs to specs/models, meaning you need prerequisite requirement documentation to anchor the domain definitions and traceability.