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Automated Testing Strategy for Web App

Hard 14 items · 2 hours
testuser's avatar
testuser Published 1 month ago
Technical

This checklist helps engineering teams define and implement a practical automated testing strategy for a web application. It’s for developers, QA engineers, and engineering managers who need clear steps to set targets, build suites, enforce CI gates, and reduce flakiness.

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  1. Define testing pyramid and target ratios — Document desired % split across unit/integration/E2E for your app and team constraints.
  2. Set unit test target percentage — Pick a realistic range (e.g., 60–80%) and record it as the primary coverage goal.
  3. Set integration and E2E target percentages — Assign remaining coverage to integration (e.g., 20%) and minimal E2E (e.g., 5–10%).
  4. Define unit coverage thresholds and enforcement — Choose line/branch targets and configure CI to fail builds when thresholds drop.
  5. Design API integration test suite and environments — Specify contract, auth, edge-case, and error-path tests and where they run (staging/ci).
  6. Select critical E2E user paths to test — Prioritize high-value flows like signup, login, checkout, and main data workflows.
  7. Create test data management plan — Define fixtures, factories, seeding, isolation, and teardown approach for reliable tests.
  8. Implement CI gates for test stages — Enforce order: unit → integration → gated E2E; block merges on failures above thresholds.
  9. Configure parallel and staged test execution in CI — Split suites, use workers and caching to keep overall CI time manageable.
  10. Set flaky test detection and quarantine policy — Automatically tag flaky tests after repeat failures and require triage within a timeframe.
  11. Establish test reporting and dashboard visibility — Expose pass rates, failure trends, and flaky counts to the team via dashboards or PR badges.
  12. Automate test environment provisioning and cleanup — Use containers, infra-as-code, and teardown scripts to ensure consistent test environments.
  13. Schedule periodic test suite review and pruning — Review tests monthly/quarterly to remove duplicates and slow or brittle tests.
  14. Train team on writing reliable tests and anti-flakiness patterns — Share guidelines: avoid sleeps, use stable selectors, mock external services when appropriate.
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