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Test automation: which checks to run after every change

What to automate: important behaviour, roles, APIs and integration; isolating tests, avoiding brittle checks and retaining version evidence.

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ALL IT Agency team
Practical IT guides for business

Automated checks repeat important scenarios and report deviations after changes. Their value depends on what they prove. Tests that mirror implementation or merely find a string may pass while users cannot achieve the intended outcome.

Choose checks by impact and repetition

Start with core actions and risks: sign-in, permissions, record creation, calculations or integration. Small reversible changes do not need tests merely copying their code. Prioritise behaviour that may silently regress later.

For example, blog tests should establish that relevant articles remain accessible through filtering and pagination. Template button counts do not prove this. Express expectations through reader-visible outcomes.

Combine test levels without count-driven duplication

Test logic in isolation, contracts through APIs and core interactions in browsers. Select the level providing evidence at manageable cost. Putting every case through a full browser can make suites slow and difficult to maintain.

Mocks isolate external services without proving real compatibility. Plan contract and necessary integration tests separately. Reports should clearly identify mocked boundaries.

Make execution reproducible

Use controlled data, environments and order independence. Prefer stable behaviour and accessible roles for selectors and actual state for waits. Arbitrary pauses are not reliable completion evidence.

Isolate live payments and messages through agreed methods. Investigate flaky tests rather than retrying until green. Unexplained reruns can hide real product or environment problems.

Tie evidence to the tested version

Retain version, check scope and failures. Changes after testing invalidate earlier evidence for the new state. Local ALL IT Agency blog work uses hashes to establish this connection.

Failed required checks stop consequential next steps. Retest the relevant scenario after fixes and extend coverage for new risks. Automation supports decisions without creating false certainty of perfection.

Sources and further reading

Key takeaways

  • Automate important behaviour needing repeated validation.
  • Tie test results to a specific version.

Frequently asked questions

No. Covered risks, reliability and evidence matter. Duplicates can add cost without value.

They establish the tested state. Changes require relevant current validation.
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