testcase-generator

Test case generation from natural language specifications is achieved by deriving acceptance and rejection test cases using CSP failure models. The system processes natural language, state machines, Mermaid, and sequence diagrams to create comprehensive test suites.

Acceptance test cases verify traces within allowed state machine sets, while rejection test cases target traces outside these sets. This Skill uses CSP failure models to systematically generate both types for thorough liveness, reachability, and safety coverage.

Yes, Mermaid sequence diagrams are supported as input for test suite generation. The system derives test cases for liveness, reachability, and safety properties directly from these diagrams to ensure critical paths and edge cases are covered.

Deriving safety property test cases from a state machine involves applying CSP failure models to the specification. This Skill systematically generates targeted test suites for safety, liveness, and reachability directly from the provided state machine diagrams.

Yes, test case generation supports requirements definition, specification, design artifacts, review, and coverage analysis. It systematically identifies potential failures before they occur by generating comprehensive acceptance and rejection test cases.

Using CSP failure models for test case generation requires structured input formats like state machines or sequence diagrams to derive accurate acceptance and rejection test suites. Unstructured natural language inputs may yield less precise coverage for complex liveness and safety properties.