Question

A developer selects a legacy `calculateShippingCost` function that has no documentation and asks Copilot Chat with `/tests` to generate a unit test suite. The function contains several conditional branches whose business meaning is unclear (e.g., a discount applied only when `weight > 50 && region == 'INTL'`). Copilot produces tests that pass, but the developer is unsure whether the assertions reflect the *intended* behavior or merely the *current* behavior. What is the most appropriate next step to maximize the value of the generated tests?

Accepted Answer

Verify the intended behavior against requirements or a domain expert, then correct any assertions that merely encode existing (possibly buggy) behavior before committing the tests.

Answer

Accept the generated tests as-is, since passing tests confirm the code is correct and the assertions are trustworthy.

Answer

Delete the ambiguous branches from the function so Copilot can generate simpler tests without unclear logic.

Answer

Ask Copilot to increase the number of test cases until code coverage reaches 100%, which guarantees the assertions are correct.