Best practices for your test automation project | DeviQA
Software testing company
  1. Home
  2. >
  3. Blog >

11 minutes to read

Best practices for your test automation project

Best practices for your test automation project

Share

Think about it: Amazon deploys code every 11.7 seconds, and Netflix runs thousands of automated tests daily to ensure seamless streaming. A recent Gartner survey reveals that 85% of organizations see faster time-to-market with automation, while the World Quality Report reports a 20-25% boost in software quality.

But here’s the catch: automation isn’t magic. Without a solid strategy, it can turn into an expensive failure. Here’s your complete guide to making your automation testing project a resounding success.

1. Set clear goals

Before diving into automation, define clear objectives. Are you looking to save time, improve test coverage, or enhance release cycles? Establishing precise goals ensures alignment across teams and sets realistic expectations. According to the World Quality Report 2023, 74% of organizations state that having a clear test automation strategy directly contributes to higher software quality. Companies with well-defined automation goals see a 30-40% reduction in testing time.

How to do it:

Automate repetitive, high-risk tasks to maximize efficiency.

Consider return on investment (ROI) when selecting test cases.

Define success metrics such as defect detection rates and reduction in manual testing efforts.

Pro tip: Focus on high-risk, high-reward areas first. Automating critical test cases early can yield a 25% increase in defect detection rates.

2. Pick the right tools and frameworks

Selecting the right automation tools can make or break your testing efforts. The wrong choice can lead to high maintenance costs, compatibility issues, and reduced efficiency.

According to the Test Automation Trends Report 2023, 67% of teams struggle with tool selection due to inadequate research. The right tools should seamlessly integrate with your application’s tech stack and align with your team’s skill set. Here’s what to consider:

Factor
Why it matters
Recommended tools

Tool compatibility

Ensure the tool supports your application type and technology stack.

Selenium (Web), Appium (Mobile), Cypress (JavaScript apps)

Ease of use

A steep learning curve can slow adoption and productivity.

TestProject, Katalon Studio, Cypress

Community & support

Active communities and strong documentation help troubleshoot issues faster.

Selenium, Appium, Playwright

Cost & licensing

Open-source tools reduce expenses, but enterprise support may be needed.

Selenium (Free), Playwright (Free), TestComplete (Paid)

Maintainability

Choose frameworks that enhance script readability and reduce maintenance.

Cucumber (BDD), TestNG (Java), Pytest (Python)

Pro tip: Always conduct a pilot run with shortlisted tools before full-scale implementation. A study by Gartner found that teams switching automation tools mid-project incur a 35% increase in overall costs due to rework and training.

3. Build a solid test strategy

A well-defined strategy is the backbone of successful automation. Without a structured approach, automation can quickly become chaotic and ineffective. According to the World Quality Report 2023, 78% of organizations that fail to define a clear automation strategy experience high maintenance costs and inconsistent test coverage. A solid test strategy ensures alignment with business goals and optimizes resource utilization.

What to include:

Define the scope of automation: Identify which test cases provide the most value. Automating everything isn't always practical — focus on repetitive and high-risk areas.

Prioritize high-value test cases: Focus on automating scenarios that deliver the highest return, such as regression tests for core functionalities.

Incorporate multiple testing types: Successful automation includes functional, regression, performance, and security testing. Ensure your strategy covers a mix of these for comprehensive test coverage.

Integrate with CI/CD pipelines: Automation should be a seamless part of your development lifecycle. Set up automated tests to trigger upon each commit, ensuring continuous validation.

Pro tip: Leverage risk-based testing strategies — automate critical paths first and expand based on data-driven insights. This approach helped Google reduce post-release defects by 60%.

Consistent automation testing for reliable software releases

4. Write maintainable test cases

Automation should simplify testing, not introduce new headaches. Poorly structured test cases lead to flaky tests, increased maintenance costs, and bottlenecks in CI/CD pipelines. Studies show that teams spend 30-40% of their automation efforts on maintenance alone. To ensure long-term efficiency, focus on maintainability from the start.

Best practices:

Follow the DRY (Don’t Repeat Yourself) principle to minimize redundancy.

Implement data-driven testing for reusability.

Ensure test scripts are independent to prevent cascading failures.

Document test cases thoroughly for better understanding and maintenance.

5. Integrate testing into development

Shifting testing earlier in the development process — "shifting left" — helps identify defects sooner, reducing time and costs. Defects found in production can cost 4-5 times more to fix than those discovered during development. Here’s what to do:

1. Start testing early in design and development

Involve QA during the design and code reviews to spot potential issues early.

2. Collaborate with developers for testable code

Encourage modular, test-friendly code design. Promote pair programming and code reviews between developers and testers for better collaboration. Provide continuous feedback on potential issues.

3. Automate tests with CI/CD tools

Use tools like Jenkins, GitLab, or Azure DevOps for automated tests that run with each code commit. Automate tests for unit, integration, and performance checks across multiple environments. Track test coverage to ensure sufficient testing across the application.

4. Early non-functional testing

Integrate performance and security testing early in the pipeline using tools like JMeter.

5. Maintain a robust test suite

Write and automate unit, integration, regression, and end-to-end tests to ensure comprehensive coverage.

6. Foster a test-driven culture

Make testers part of the development team and encourage developers to write testable code. Use quality metrics like defect density and test coverage to track progress and improve over time.

Pro tip: Encourage developers to write unit tests for critical code paths before adding new features. This helps prevent breaking core functionality and lays a solid foundation for future testing.

6. Track performance and metrics

Effective automation goes beyond executing tests; it’s about leveraging data to drive continuous improvement and optimize the testing process. Here’s a table that outlines the key metrics to track in test automation, along with examples to help clarify their importance and use:

Metric
Description
Example

Test execution time

Measures the total time it takes for all automated tests to run. Longer test times can indicate inefficiencies.

Time optimization is possible by removing repetitive testing as well as redundant waiting periods.

Test success rate

Percentage of tests that pass successfully. Low success rates may indicate unstable or poorly written tests.

A success rate of 95% means only 5% of tests fail, which is an acceptable threshold, but a 60% success rate signals instability.

Code coverage

Measures the percentage of code covered by tests. Target 70-80%, focusing on critical areas.

If 75% of the application’s code is covered, you know the core logic is well-tested, but you may need to add tests for edge cases.

Defect detection rate

Tracks how many defects are found through automated testing versus manual testing. A high rate indicates effective tests.

If automated tests catch 80% of defects, it suggests your test suite is robust and catches most issues before release.

Mean time to resolution (MTTR)

The average time taken to resolve defects detected by tests. Shorter MTTR means quicker issue resolution.

If the average time to fix a defect is 2 hours, but spikes to 10 hours for complex bugs, identifying root causes can help reduce this.

Return on investment (ROI)

Measures the cost-efficiency of automation by comparing the investment in automation tools and maintenance with savings.

If automation costs $5,000 and saves 50 hours of manual testing each month, with an hourly cost of $100, ROI would be $5,000/month.

Pro tip: Analyze Test Execution Time and Test Success Rate together. If execution time rises but success rates fall, it may indicate unnecessary complexity. Focus on optimizing slow or redundant tests and refactoring flaky ones for faster, more reliable automation.

7. Keep tests updated

If tests are not regularly updated, they can become outdated, failing to cover new features, changes, or improvements. This can lead to ineffective testing, undetected bugs, and delays in release cycles. Studies show that 60% of defects are found too late in the process due to outdated tests, costing organizations up to 10x more to fix.

Tips for staying up to date:

Periodically review and refine test cases.

Refactor outdated scripts for better efficiency.

Remove redundant tests that no longer add value.

Update tools and frameworks to the latest versions.

Pro tip: Automate test reviews after major releases to keep them aligned with new features. This helps catch coverage gaps early and saves time. For instance, GitHub uses automated checks to ensure their tests adapt with each code release.

Your needs. Our focus. Managed test automation for an uninterrupted SDLC

8. Test across browsers and platforms

Ensuring consistent performance across different browsers and platforms is essential for providing a seamless and reliable user experience. Studies show that over 50% of users abandon a site if it doesn't load or function correctly on their device.

With the increasing variety of devices, browsers, and operating systems, testing across multiple environments is no longer optional but critical for success.

How to do it:

1. Leverage cloud-based tools

Cloud-based testing platforms like BrowserStack or Sauce Labs enable you to run your tests across a wide range of browsers, operating systems, and devices without the need for maintaining physical infrastructure. These tools can run automated tests in parallel, significantly reducing the time needed for cross-browser testing.

2. Focus on popular combinations

Prioritize testing on the most commonly used browsers and devices. For instance, Chrome accounts for over 65% of global browser usage, while mobile devices contribute to over 55% of web traffic. Focus on testing these primary combinations to ensure that your application performs well for the largest portion of users.

3. Automate configuration setups

Automate your configuration setups using tools like Selenium Grid or CI/CD integrations to quickly spin up different environments for testing. This approach ensures that you test consistently and efficiently without the overhead of manually managing environments.

9. Train your team

Investing in continuous training is crucial for automation success. According to a report from McKinsey, companies that invest in training their teams see a 24% increase in productivity. A skilled team can make all the difference in executing an effective automation strategy.

What to take into account:

Proficiency in automation tools and scripting.

Fundamentals of test design and debugging.

Best practices for CI/CD and version control.

Pro tip: Ongoing training is essential for automation success. According to a report from PwC, companies that invest in upskilling their teams experience a 30% improvement in project outcomes.

10. Start small and grow

Avoid the temptation to automate everything at once. A phased approach ensures better control, smoother learning, and more successful outcomes. In fact, research from Forrester shows that companies adopting a gradual approach to automation are 2.5 times more likely to see sustained ROI compared to those who try to automate everything at once.

Steps to get started:

1.

Begin with tasks that offer significant value or are repetitive, leading to the most noticeable improvements.

2.

Analyze initial results, gather feedback, and refine your strategy to avoid early pitfalls.

3.

Make data-driven adjustments to enhance automation efficiency and accuracy over time.

4.

Use insights to expand gradually, ensuring each step builds on previous successes and lessons learned.

Pro tip: Automate high-priority tasks first to quickly show value and build momentum for scaling later.

Conclusion

Test automation can really transform the way you work, but it's all about having the right strategy in place. By setting clear goals, choosing the right tools, and continually refining your approach, you'll tap into automation's full potential. Companies that do this well see up to 40% faster release cycles and a 30% reduction in testing costs. With the right steps, you’ll be able to deliver high-quality software faster and more efficiently.

Recap: Focus on setting clear goals, pick the right tools, and scale your automation gradually. The key is to optimize as you go and stay flexible.

Ready to take your test automation to the next level? Let DeviQA’s experts help you design a strategy that works for your team.

Team up with an award-winning software QA and testing company

Trusted by 300+ clients worldwide

Share