Writing Unit Tests Based on Acceptance Criteria
Guide on using an LLM to generate unit tests (e.g., Jest for JS/TS, Pytest for Python) for existing code based on User Stories and their associated Acceptance Criteria.
Key Points:
- Understanding how Acceptance Criteria translate into test cases (Given-When-Then).
- Providing the LLM with the code to be tested and the relevant User Story/Acceptance Criteria.
- Prompting for specific test functions or methods covering each criterion.
- Refining generated test code, adding necessary setup/teardown, and ensuring assertions are correct.
- Running the generated tests and verifying their correctness and coverage against the criteria.
Assets:
- Example User Story and Acceptance Criteria.
- Example code snippet (e.g., a function or class) to be tested.
- Prompt Template: “Generate Unit Tests from Acceptance Criteria” (Reusable Markdown template).
- Example LLM interaction flow.
- Code Snippets: Generated unit test code.
- Callout (Inline Tip): “Tip: Provide the LLM with the signature or interface of the code being tested for better results.”
- Callout (Inline Note): “Note: LLMs can generate test structures and ideas based on criteria, but human expertise is vital for ensuring comprehensive test coverage and correct assertions.”
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