Continuous testing is the key to building better software faster. By executing automated tests as part of the software delivery pipeline, continuous testing provides development teams with more useful feedback earlier in the process, helping to identify business risks associated with a software release as rapidly as possible.
Continuous testing involves:
- A wide range of automated and manual tests
- Testing across all phases of the software delivery pipeline
- Communicating actionable feedback to the right stakeholder at the right time
- Aligning testing with business risk
- Applying service virtualization and stateful test data management to stabilize testing for continuous integration
- Performing exploratory testing to expose “big block” issues early
- Determining whether software can be released based on an acceptable level of risk to the business
Because it involves testing early, testing often, and testing everywhere, continuous testing creates complexity for development teams as they race to continually release new software iterations. Coordinating testing requires extensive communication between stakeholders about where new code is deployed and which pieces need to be tested. Software testing teams must also write a variety of test cases to test software requirements, run tests and track progress of each step to completion, and communicate results to the right people.
Traditional testing platforms can’t deliver the speed or agility required for continuous testing. These legacy systems rely on brittle scripts, deliver slow end-to-end regression test execution, and produce an overwhelming amount of false positives. In an environment where software is being released anywhere from every two weeks to thousands of times a day, traditional testing solutions are simply inadequate.