Best Practices for Automated Testing
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As part of the “Best Practices” series by Uplatz
Welcome to a quality-first edition of the Uplatz Best Practices series — where software doesn’t just ship fast, it ships with confidence.
Today’s focus: Automated Testing — the foundation for continuous delivery, stable systems, and developer peace of mind.
🧪 What is Automated Testing?
Automated Testing is the practice of writing scripts or using tools to validate that software behaves as expected — without manual intervention.
It includes multiple types:
- Unit Testing
- Integration Testing
- UI Testing
- API Testing
- Regression Testing
- Performance Testing
Automated testing enables speed, repeatability, and reliability in modern software development pipelines.
✅ Best Practices for Automated Testing
Well-written automated tests reduce bugs, improve velocity, and increase team confidence. Here’s how to implement them effectively:
1. Follow the Test Pyramid
🔺 Write More Unit Tests, Fewer Integration, and Minimal UI Tests
🧱 Keep Lower Layers Fast and Isolated
📊 Avoid an Inverted Pyramid (too much slow UI testing)
2. Automate Early and Continuously
⚙️ Start Testing in Dev Branches, Not Just in CI/CD
🧪 Run Tests Automatically on Every Commit or Pull Request
📦 Integrate With Build Pipelines (Jenkins, GitHub Actions, GitLab CI)
3. Write Maintainable and Readable Tests
📘 Use Descriptive Test Names: should_fail_login_with_wrong_password()
🔄 Avoid Over-Mocking or Tight Coupling to Implementation
🧹 Refactor Tests Along With Production Code
4. Ensure High Coverage (But Not Blindly)
🎯 Aim for >80% Coverage on Business-Critical Logic
❌ Don’t chase 100% — focus on quality over quantity
🧪 Measure With Tools Like Istanbul, Jacoco, Coveralls
5. Test Across Environments
🌍 Run Tests on Local, Staging, and Pre-Prod
🔄 Test With Realistic Data and Configurations
📱 Use Emulators/Simulators for Cross-Platform Testing (esp. Mobile)
6. Mock Only What You Control
🧩 Mock External Services (APIs, DBs), Not Internal Business Logic
📦 Use Tools Like WireMock, Mockito, or Nock for Reliable Stubs
⚠️ Avoid Over-Mocking — Real Behavior Beats Fake Success
7. Use Tags and Parallel Execution
🏷️ Tag Tests by Type or Module (@smoke, @login, @e2e)
⚡ Run Critical Tests in Every Commit; Full Suite in Nightly Builds
🔀 Leverage Parallelization to Speed Up Suites
8. Make Tests Fast and Deterministic
⏱️ Keep Unit Tests <100ms and E2E <2s Where Possible
🔁 Avoid Random Failures, External Dependencies, and Race Conditions
🧪 Use In-Memory DBs, Local Fixtures, or Snapshot Testing
9. Capture Logs, Screenshots, and Videos on Failures
📸 Enable Better Debugging With Visual or CLI Artifacts
🔍 Attach Output to CI/CD Reports or Slack Alerts
📋 Use Tools Like Cypress, Playwright, or Allure Reports
10. Review and Refactor Test Code Like Production Code
🧹 Run Linters, Code Reviews, and Static Analysis on Test Code
🔁 Refactor Tests for Clarity and DRYness
📦 Store Tests Close to the Code They Validate
💡 Bonus Tip by Uplatz
Fast releases aren’t risky if your tests are fast, reliable, and visible.
Automate like your uptime depends on it — because it does.
🔁 Follow Uplatz to get more best practices in upcoming posts:
- Test-Driven Development (TDD)
- Continuous Testing in CI/CD
- Performance Testing with k6 & JMeter
- API Testing with Postman and RestAssured
- Visual Regression Testing for Frontend QA
…and 10+ more across quality engineering, DevOps, and test strategy.