The Era of Intelligent Testing
Existing QA solutions were built for a world where software changed infrequently. Highly adopted tools such as Selenium, Appium, and JUnit require a specialized skill set and too much maintenance, once you start factoring in the brittle nature of tests and the infrastructure required to run tests at scale. But there is still hope for QA in machine intelligence. Next-generation AI tools are here to help QA keep up with the agility of modern software delivery practices in two ways: by enabling manual testers who don't know how to code to automate, and by easily automating repetitive tasks so that development teams can ship software faster while QA teams increase test coverage. Join Dan Belcher to learn exactly what AI strategies are being employed to make this possible, and what intelligent testing looks like for the future of QA.