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First prove that the test actually ran against the reverted code. A green command can mean the test executed and failed to catch the regression—or that the runner skipped it, restored old outputs, or never selected it. Once execution is confirmed, check whether the test’s inputs and assertion would detect the behavior the fix changed.

Why does my regression test still pass after reverting the fix?

There are two questions to answer, in order: did the relevant test execute against the reverted implementation, and would its assertion fail if the original bug were present? A green summary alone answers neither.

Test executed against reverted code? Assertion would catch reverted behavior? What to investigate
Not confirmed Unknown Test discovery and selection, skipped tasks, incremental build decisions, and cached outputs.
Yes No The test may be stale or too weak: examine its fixture, inputs, expected result, and assertion.
Yes Apparently yes Run it in isolation and investigate state leakage, nondeterminism, or hidden dependencies.

This is a diagnostic framework, not a claim that any one cause applies to your project. The available evidence does not establish a universal explanation for a test that still passes.

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How do I know the test ran against my changed code?

Inspect the test runner’s report and the build log, not just the final success status. Find the exact test by name and confirm it has an execution result. Also check that the command selected the intended test and that the task ran using the reverted revision rather than an earlier build’s outputs.

In Gradle, task outcomes distinguish execution from other successful build outcomes. Gradle documents UP-TO-DATE as a task skipped because its inputs and outputs appeared unchanged, and FROM-CACHE as skipped execution with outputs restored from the build cache. NO-SOURCE and SKIPPED likewise do not show that the test ran. See Gradle build optimizations for task outcome details. Other build systems use different terminology and behavior; do not assume these Gradle labels apply elsewhere.

Compare the fixed and reverted versions with fresh build state

Old generated files or cached outputs can make a comparison misleading. Run the test from a clean build state, then compare the revision with the fix to the revision where you reverted it. When feasible, use a separate checkout or worktree for one revision so files left in the original working directory cannot affect the comparison.

  1. Check out the fixed revision and run the relevant test, recording the test report and task outcome.
  2. Check out the reverted revision in a clean state—or in a separate checkout—and run the same test command.
  3. Compare the reports and logs: verify the same test was selected and executed, and note any skipped, up-to-date, or cache-restored work.

Gradle’s cache-debugging guidance recommends cleaning project state and checking behavior across checkouts when investigating unwanted leftovers or cache effects: Debugging the build cache. A clean comparison helps rule out old outputs; it does not by itself prove that the test assertion is meaningful.

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Check whether build inputs are declared correctly

For Gradle tasks, declared inputs and outputs inform up-to-date checks and build-cache keys. If a property affects a task’s output but is not registered as an input, Gradle may consider the task up to date even when the real behavior should change. Gradle puts the rule plainly: “If a task property affects the output, be sure to register it as an input, otherwise the task will be considered up to date when it’s not.” See Gradle incremental builds.

Review the task configuration for inputs that could change between the fixed and reverted revisions, including files, configuration values, or other output-affecting properties. Incremental and cacheable tasks also need to handle stale outputs correctly; the exact checks depend on the build system, so treat Gradle-specific labels and configuration as Gradle guidance rather than universal rules.

Run the test in isolation when state leakage is plausible

Run the test alone, in a fresh process, or with fresh fixtures and dependencies if your framework allows it. If the outcome changes only when isolated, inspect shared files, databases, environment variables, device state, ordering assumptions, and cleanup behavior.

Android Trade Federation’s isolation guidance notes that “A test run in isolation provides a strong signal” because isolation reduces the chance that state from a previous test remains on the device. That guidance is specific to Android Trade Federation, but the diagnostic principle is useful: compare isolated and suite runs to identify possible state left behind by other tests. See Android test retry isolation.

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Inspect what the assertion actually proves

If you have confirmed that the test ran against the reverted implementation, trace the test from its inputs to its assertion. Ask whether the fixture reaches the affected behavior, whether the original failure condition is possible, and whether the expected result would differ between the fixed and reverted versions.

  • Check that the test uses the input or setup that triggered the original bug.
  • Verify that the relevant code path is reachable under the test’s conditions.
  • Confirm that the assertion checks the changed behavior—not merely that execution completed or some unrelated value was returned.
  • Consider whether the test could pass for both implementations because its expected value is too broad or its setup no longer exercises the regression.

A May 2026 benchmark paper distinguishes tests that pass but no longer meaningfully validate updated behavior (“Test-Stale”) from test-breaking and test-missing cases. That category can help describe a weak or outdated test, but it does not establish that your particular test is stale. The key evidence is whether its assertion would fail against the reverted behavior.

A practical order for troubleshooting

  1. Confirm selection and execution. Find the exact test in the runner report and verify the build did not skip it or reuse prior outputs.
  2. Repeat with clean state. Compare fixed and reverted revisions using the same command; use a separate checkout when possible.
  3. Inspect task inputs. In Gradle, check whether all output-affecting properties are declared and whether task outcomes indicate execution or reuse.
  4. Isolate the test. Use a fresh process and fixtures when shared or leftover state could affect the result.
  5. Validate the assertion. Ensure the test setup reaches the regression and that the assertion distinguishes the fixed behavior from the reverted one.

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