Vous avez du mal à trouver un équilibre entre l’efficacité et la qualité des tests. Comment trouver l’harmonie parfaite ?

To balance efficiency and quality in testing: 1. Prioritise Tests : Focus on critical and high-risk areas first. 2. Automate Wisely:Automate repetitive tests, but ensure the tools fit your needs. 3. Adopt Agile:Integrate testing throughout development with continuous testing. 4. Risk-Based Focus:Test high-risk areas more thoroughly. 5. Manage Test Data:Organise test data efficiently to avoid delays. 6. Combine Automation and Exploratory Testing:Use both to cover more ground. 7. Monitor and Refine:Regularly assess and improve your testing process. 8. Track Metrics:Use KPIs to measure efficiency and quality. 9. Collaborate:Ensure close communication between developers and testers. 10. Stay Updated:Continuously learn and adapt your approach.

Test automation reduces the efficiency and quality gap by: - Faster test execution - Increased test coverage - Consistency and reliability - Early defect detection It also reduces testing time, improves test data management, enables continuous testing, and promotes collaboration. Implementing test automation ensures faster time-to-market, higher quality products, and reduced testing costs.

Automate repetitive tasks and regression tests to save time and reduce human error. This allows you to focus manual testing efforts on more complex scenarios that require deeper analysis.

Encontrar o equilíbrio entre eficiência e qualidade nos testes é um desafio comum, mas fundamental para garantir um produto robusto e uma boa utilização dos recursos. Finding the balance between efficiency and quality in testing is a common challenge, but essential to ensuring a robust product and good use of resources.

If you will miss the deadline while trying automating it’s better you do it manually first, you deliver it. Then you can try again automating it if you think you will need it.

Efficient testing is about making strategic choices, not cutting corners. By prioritizing tests based on risk and impact, you ensure that the most critical functionalities receive the attention they deserve. Allocating more resources to these areas allows for thorough examination, while a lighter approach on less critical aspects can help manage time and resources effectively. This risk-based strategy ensures that your testing efforts are both effective and efficient, focusing on what truly matters for the success of your software.

Focus on high-impact tests first. Use risk-based testing to identify critical paths and components. Prioritize features based on user impact, business value, and failure risk.

Test prioritization will increasingly be able to be done by AI, which could save time. It is on the time dedicated to prioritizing tests according to risk and impact that AI will save time and increase effectiveness (and therefore efficiency).

1. Prioritizing tests based on risk and impact 2. Focusing on critical functionalities that require rigorous testing 3. Allocating resources accordingly 4. Adopting a risk-based testing strategy This approach helps you: 1. Ensure the most important aspects of your software are thoroughly examined 2. Optimize testing efforts and resources 3. Reduce testing time and costs 4. Improve overall testing efficiency and effectiveness Additionally, consider the following best practices: 1. Identify and test high-risk areas first 2. Use automation for repetitive and high-volume tests 3. Leverage exploratory testing for complex scenarios 4. Continuously monitor and adjust your testing strategy

Implement CI to regularly integrate code changes and run automated tests. This ensures issues are caught early, improving overall quality without slowing down development.

Finding the perfect balance between efficiency and quality in testing can be achieved through the implementation of continuous integration. By integrating code changes frequently and running automated tests with every commit, CI ensures that errors are caught early and addressed promptly. This approach allows you to maintain a consistent pace without sacrificing quality, as it enables quick feedback loops and continuous monitoring of the software’s health. With CI, you can streamline the testing process, reduce the time spent on manual checks, and ensure that the software evolves smoothly without compromising on thoroughness and reliability.

Incorporate TDD to write tests before code. This helps developers focus on functionality and edge cases upfront, leading to more robust and reliable software.

Often, developers and QA teams handle testing in isolation, which works fine until issues crop up—like the CrowdStrike incident. So why not involve the whole team from the start? Even business-facing members might use the product, and we’re all accountable for its success. A few hours a week on critical components won’t hurt. While this depends on organizational culture, I've found that shared responsibility, with developers and QA leading the way, is invaluable. Collaboration across developers, QA, and operations helps catch issues early and streamlines workflows, boosting communication and product quality through diverse perspectives and expertise.

Encourage collaboration between testers, developers, and other stakeholders. Clear communication ensures the right areas are being tested, and issues are resolved quickly.

Use data to track testing performance. Metrics like test coverage, defect density, and test execution time can help optimize the testing process while maintaining high quality.