test-case-generation

You can automate test case generation by feeding requirement files or story links into the workflow. It decomposes requirements into modules, generates JSON test cases with confidence and review scores, cross-checks for redundancy, and enforces sufficiency gating before emitting final_cases.json.

Automating test case decomposition involves breaking requirements into modules and generating JSON cases in parallel. A multi-agent review workflow then checks for redundancy, scores confidence, addresses coverage gaps, and emits a review_summary.json for quality assurance.

Requirement clarification artifacts serve as valid inputs for generating module-level JSON test cases. The workflow processes these artifacts to create module_{N}_cases.json files, runs redundancy-pair reviews, and aggregates them into final_cases.json for downstream ingestion.

Confidence scoring evaluates generated test cases during creation and multi-agent review. Each case receives confidence and review_confidence scores, which feed into sufficiency gating and redundancy-pair reviews to ensure the final_cases.json output meets coverage and quality thresholds.

Automated test case generation outputs structured JSON files like final_cases.json and test_cases.json, along with tc_gen_review.md and review_summary.json. These formats are designed for seamless downstream ingestion into test automation frameworks and coverage tracking systems.