Is 100% coverage enough?
Practice this questionWANT TO UNDERSTAND THE CONCEPT FIRST?Learn Is 100% coverage enough?
Definition:
Coverage measures which lines, branches or functions executed while tests ran. It can reveal untested areas, but execution does not prove that the assertions checked correct behavior. A suite can reach every line and still miss invalid inputs, race conditions or a wrong expected value.
Key points:
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No. Executed lines can still have weak assertions or missing edge cases.
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Check important success, failure, permission and concurrency cases.
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Use real database integration tests for queries, constraints and transactions.
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Focus assertions on business invariants, such as stock never becoming negative or one user never reading another tenant's data.
Interview point:
- Use coverage as a signal to inspect gaps, not a target that substitutes for meaningful test design.
Adapted from 09_TESTING_GIT_DOCKER_CLOUD.md · “Is 100% coverage enough?”. Code examples are study fragments. Difficulty and core labels are editorial estimates; version-specific behavior should be checked against your project.