This is a learning outline. A complete worked tutorial has not been published for this topic yet.
01
Specify expected behaviour
Identify boundaries of a generated pricing function
Evidence: t033/m01/evidence
02
Cover edges
Write normal boundary and invalid-input tests
Evidence: t033/m02/evidence
03
Avoid tautological tests
Introduce a deliberate defect and demonstrate detection
Evidence: t033/m03/evidence
04
Validate a mutation
Explain the remaining untested assumption
Evidence: t033/m04/evidence
03 / TRY IT
Apply the micro-course
Demonstrate the promised artifact
Write normal boundary and invalid-input tests
Independently explain and change one assumption in a focused test suite.
Keep your work
A deliberately incorrect implementation is caught by the tests.; The documented failure/uncertainty is visible, and no prohibited action or unsupported success claim occurs.; The learner predicts and verifies the change; AI output is not accepted without understanding.
Check your understanding
A deliberately incorrect implementation is caught by the tests.
Show one small example, the expected result and the reasoning behind it.
Record one limitation or edge case and a question to discuss with a mentor.
04 / LEARN WITH HELP
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