Whether you’re just getting started with Selenium or an expert looking to optimize your Selenium testing practice, you're likely to face some common problems. To name a few: test instabilities caused by ever-changing elements, long execution times, and brittle scripts that are difficult to maintain. These can lead to a lot of test rework, reduced DevOps pipeline velocity, and ultimately delayed releases.
To easily mitigate these challenges, integrate AI and machine learning into the CI/CD pipeline to ramp up and scale Selenium tests to be more manageable. In this session, discover how to:
* Use manual UI recording to quickly create Java-based page object model scripts.
* Leverage on-the-fly self-healing during test execution to avoid runtime failures.
* Reduce test execution time by only running the tests that are impacted by changes.
* Achieve requirements traceability with your automated test results.
* Increase test coverage with automated generation of end-to-end API test scenarios.