Jones believes the most common reason for using test automation today is to shorten the regression test cycle. Regression tests are used to determine if changes to the software are the cause of new problems. They verify that a system under test hasn’t changed. To guard against introducing unintended changes, they become part of a regression test suite after the tests pass. Regression tests are automated to ensure regular feedback.
Check out some of the resources below or head over to our automated testing starter kit for more tips, resources, and tools for you to use to make your transformation seamless. You’ll find more information on what you should automate first, how to succeed when moving beyond manual testing, a downloadable guide to help you pick the right tool that fits your needs and an ROI calculator you can leverage to help your boss, or your team understand why automated testing is imperative.
Instead of creating the "tests" at the end, I suggest starting with examples at the beginning that can be run by a human or a software system. Get the programmer, tester, and product owner in a room to talk about what they need to be successful, to create examples, to define what the automation strategy will be, and to create a shared understanding to reduce failure demand. My preference is to do this at the story level — what some might call a minimum marketable feature — which requires a half-day to a week of work. George Dinwiddie, an agile coach in Maryland, popularized the term "the three amigos" for this style of work, referring to the programmer, tester, and analyst in these roles. Another term for the concept is acceptance test-driven development.
API testing is also being widely used by software testers due to the difficulty of creating and maintaining GUI-based automation testing. It involves directly testing APIs as part of integration testing, to determine if they meet expectations for functionality, reliability, performance, and security. Since APIs lack a GUI, API testing is performed at the message layer. API testing is considered critical when an API serves as the primary interface to application logic since GUI tests can be difficult to maintain with the short release cycles and frequent changes commonly used with agile software development and DevOps.
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