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Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Test cases deserve review because they are part of the change: they express the behavior the team intends to preserve and shape how much confidence later developers can place in the code. A reviewer should assess whether tests are correct, clear, and useful—not just whether a test file exists. Automated checks still need to run the tests; human review and execution do different, complementary jobs.
Why include tests in a pull request review?
A pull request changes more than production code. Its tests document expected behavior, expose assumptions, and provide evidence when someone changes the system later. A test that misses the important outcome can give false confidence; an unclear or fragile test can become difficult to trust or maintain.
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Google’s living code review guidance explicitly asks reviewers to consider whether automated tests are correct and well-designed: Google Engineering Practices: The Code Reviewer’s Guide. Microsoft’s Code With Engineering Playbook describes pull requests as a way to inspect code and qualify changes through automation, including unit and integration tests, and recommends including tests related to the change: Microsoft Code With Engineering Playbook: Pull Requests.
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That makes test review a design and reasoning task. The reviewer considers whether the test represents the intended behavior and whether its checks would provide useful evidence if that behavior broke. This is not the same as rerunning the test by eye, nor does it replace automated execution.
What to look for when reviewing a test
- Intent: What behavior or risk is the test meant to cover? Can you infer that from its name, setup, inputs, and expected outcome?
- Meaningful failure: Would the test fail if the behavior introduced by this change were wrong, and pass when the intended behavior is present?
- Useful assertions: Are the checks specific enough to detect the relevant regression, rather than merely confirming that the code ran?
- Relevant cases: Does the change make a boundary condition or failure path important? If so, is that behavior represented?
- Stability: Does the test depend unnecessarily on timing, execution order, shared state, or external conditions?
- Maintainability: Can another developer understand the setup and expected result without reverse-engineering the production code?
These questions apply Google’s and Microsoft’s broader guidance on correct, well-designed tests to the test-specific decisions a reviewer can see in a change. They are practical prompts, not a checklist quoted from either organization.
Review and execution catch different things
A human reviewer can assess whether a test’s intent and design make sense in the context of the change. Automated execution checks what happens when the test runs in the configured environment. Passing tests do not prove that the tests cover the right behavior; a thoughtful review does not prove that the code behaves correctly at runtime.
Do not treat review as a reliable bug detector on its own. A 2015 Microsoft Research publication argues that code reviews often fail to find functionality issues that should block submission, and discusses the importance of reviewer skills and social context: Microsoft Research, “Code Reviews Do Not Find Bugs. How the Current Code Review Best Practice Slows Us Down”. The practical implication is to keep review and automated test execution together, not to substitute one for the other.
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Tests are easier to assess when the pull request is compact and focused, and when the related tests appear alongside the production change. Microsoft’s playbook recommends focused pull requests that include related tests. A narrow change helps the reviewer connect an assertion to the behavior it is meant to protect.
Reviewer expertise matters too. Google recommends selecting someone able to provide a thorough and correct review, while Microsoft Research’s discussion also emphasizes reviewer skills. For a change involving unfamiliar behavior or a specialized risk, choose a reviewer who can evaluate that area; automation remains necessary regardless of who reviews it.
How to make test intent visible in the diff
- Keep tests related to the production change in the same pull request where practical, so reviewers can compare behavior and implementation.
- Use names and setup that make the scenario and expected result understandable.
- Prefer assertions that demonstrate the behavior at issue over incidental implementation details.
- Include relevant boundary or failure cases when the change makes them important, rather than adding unrelated coverage.
- Ensure the pull request’s automated checks run the relevant tests, so review is paired with execution feedback.
These practices do not require a particular hosting platform or testing framework. The useful workflow is one in which test intent is visible, a capable person can assess its design, and automation executes it.
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What test review can—and cannot—establish
Reviewing tests can clarify the behavior a change is supposed to deliver, expose weak evidence, and make future maintenance easier. It cannot guarantee that every defect has been found or that the test suite covers every possible condition. Treat the test as part of the change under review and as executable evidence—not as a substitute for judgment or as proof by itself.
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