More and more companies are deploying DevOps and Continuous Testing (CT) workflows. The Software projects that are staying ahead of the curve have implemented the correct foundation for Continuous Testing by adopting the following five steps and developing a plan that is continuously optimized, maintained and adjusted as things change in the market or on your product road map.
In a prior post I discussed building the ultimate continuous integration architecture, here are the five steps you can utilise in order to implement Continuous Testing for your software project:
- Risk vs. Reward
- Coverage is important, while being exhaustive may be economically infeasible, using Quality Metrics and understanding your Quality Deficit can help you optimise what is done to maximise the value of Continuous Testing.
- Automate end-to-end testing
- Implement the right tests, make sure your Continuous Testing test buckets are correct and leverage reporting appropriately.
- Use Change Impact Analysis to run tests per each code commit as part of a consolidated CI process.
- Have a stable lab and test environment
- Analyse your Continuous Integration / Continuous Testing data and reports
- Use Artificial Intelligence (AI) & Machine Learning (ML) to help you optimize your Continuous Testing test suite and reduce the amount of time in release activities.
- Software delivery pipeline and DevOps toolchain
- Continuous Testing needs to work seamlessly with everything.
- No matter the environment and dependencies, continuous testing needs to pick up all the appropriate testing, execute them automatically and provide feedback for a GO/NO GO on the release.