Best Practices for Automated Testing in 2024

Introduction

Automated testing is table stakes in modern software development. What follows are the practices we've landed on after building and maintaining test automation across a lot of different projects.

Why Automated Testing Matters

Automated testing provides significant benefits to development teams:

Catch bugs early in the development cycle before they reach production
Reduce manual testing effort and free up resources for exploratory testing
Improve code quality and confidence through continuous verification
Enable faster release cycles with reliable automated checks
Provide quick feedback to developers on code changes

Best Practices

1. Start with a Clear Testing Strategy

Before writing any tests, take time to define and document:

What to test (and equally important: what not to test)
Which testing framework to use based on your tech stack
Test data management approach for consistency and maintainability
CI/CD integration plan for automated execution

2. Follow the Testing Pyramid

The testing pyramid provides a strategic approach to test distribution:

        /\
       /  \
      / E2E\
     /______\
    /        \
   /Integration\
  /____________\
 /              \
/  Unit Tests    \
/________________\

Distribution by Type:

Unit Tests: 70%. Fast, isolated, numerous. They test individual functions and methods
Integration Tests: 20%. API and component integration. They verify that components work together
E2E Tests: 10%. Critical user journeys. They validate complete workflows end to end

This distribution ensures you catch most issues quickly with unit tests while maintaining confidence through integration and E2E testing.

3. Write Maintainable Tests

Clear, descriptive test names make tests self-documenting and easier to maintain.

Good practice: clear, descriptive test names

describe('User Login', () => {
  it('should display error message when password is incorrect', () => {
    // Test implementation
  });
});

Anti-pattern: unclear test names

describe('Login', () => {
  it('test1', () => {
    // What does this test? Unclear!
  });
});

4. Use the Page Object Model (POM)

Separate test logic from page elements to improve maintainability and reduce duplication:

// LoginPage.js
class LoginPage {
  get emailInput() { return $('#email'); }
  get passwordInput() { return $('#password'); }
  get submitButton() { return $('#submit'); }

  async login(email, password) {
    await this.emailInput.setValue(email);
    await this.passwordInput.setValue(password);
    await this.submitButton.click();
  }
}

// login.test.js
it('should login successfully', async () => {
  await loginPage.login('user@example.com', 'password123');
  expect(await dashboardPage.isDisplayed()).toBe(true);
});

5. Implement Proper Test Data Management

Manage test data strategically to ensure consistency and reproducibility:

Use factories or builders for creating test data objects
Reset state between tests to prevent test interdependencies
Avoid dependencies between tests. Each test should stand on its own
Use realistic but anonymized data so scenarios match the real world

6. Make Tests Independent and Isolated

Each test should be self-contained and not rely on other tests:

Run independently of others with no shared state or ordering dependencies
Not rely on execution order. Tests should pass in any sequence
Clean up after itself by resetting state and removing created resources
Have its own test data from separate fixtures or factories

7. Implement Smart Waits

Use explicit waits instead of hard-coded delays to make tests more reliable:

Good practice: explicit waits

await browser.waitUntil(
  async () => await element.isDisplayed(),
  { timeout: 5000, timeoutMsg: 'Element not visible' }
);

Anti-pattern: hard-coded sleeps

await browser.pause(3000); // Flaky and slow!

8. Handle Flaky Tests Aggressively

Flaky tests erode team confidence in the test suite. When you encounter them:

Investigate immediately. Don't ignore or defer
Fix or quarantine so the root cause gets addressed
Don't just re-run. Understand why the test is unreliable
Look for race conditions such as timing issues, dependencies, or external state

CI/CD Integration

Integrate tests into your pipeline for continuous quality assurance:

# Example CI configuration
test:
  stages:
    - unit-tests
    - integration-tests
    - e2e-tests

  rules:
    - on: pull_request
    - on: push to main

Monitoring and Reporting

Implement comprehensive test reporting and monitoring:

Test execution times to track performance and spot bottlenecks
Pass/fail rates to monitor test reliability over time
Flaky test tracking to identify and fix unreliable tests
Code coverage metrics to understand test scope and find gaps
Historical trends to track quality improvements and regressions

Common Pitfalls to Avoid

Be aware of these common mistakes when implementing automated testing:

Over-testing. Don't test framework code or third-party libraries
Testing implementation details. Focus on behavior and user interactions instead of internals
Ignoring test maintenance. Tests are code and they need regular maintenance and refactoring
No code review for tests. Test code deserves the same scrutiny as production code
Writing tests after development. Test early and often, ideally following TDD

Tools We Recommend

Unit Testing

Jest for JavaScript, with great developer experience
pytest for Python, with fixtures and a deep plugin ecosystem
JUnit, the Java standard

Integration Testing

Supertest, an HTTP assertion library for APIs
Testcontainers, which spins up Docker containers for database testing

E2E Testing

Playwright for cross-browser E2E testing with a clean API
Cypress, a developer-friendly E2E framework
Selenium WebDriver, the industry standard for browser automation

CI/CD Platforms

GitHub Actions for native GitHub integration
GitLab CI for a full CI/CD solution
Jenkins when you need a flexible, self-hosted automation server

Conclusion

Automated testing is an investment that pays off in confidence, fewer bugs, and faster deployments. Start small with a clear strategy, follow these practices, and keep improving the suite as you go.

The goal was never 100% code coverage. The goal is confidence in your software. A well-designed, maintainable test suite is worth far more than hitting an arbitrary coverage number.

At NorthQA, we help teams implement and maintain robust automated testing strategies. Contact us to learn how we can help improve your testing practices.