You can drastically reduce the testing effort and make QA processes more comprehensive, scalable, and quicker by using artificial intelligence and machine learning. Few months ago, we introduced the concept of AI4T (Advanced Intelligence for Testing) – our research project to improve QA-related processes. Today, some of the project’s intelligent prototypes are already implemented in real-life projects effectively.
What does this AI webinar cover?
- AI for testing in a nutshell: You will get an overview of the progress in the AI4T research project, and the goals and benefits of AI for testing.
- Self-healing Test Automation: You will learn how you can significantly reduce the maintenance of automated test cases. We will demonstrate the self-healing component, which can detect dynamically changed UI identifiers throughout a test run and apply necessary changes.
- Automatic Fail Analysis in Real Life Use Cases: We will share insights on how customers use our automated fail analysis, illustrating the intelligent clustering of log files using machine learning. On top of that, we will also discuss the new features and provide you a demo link to try out!
AI4T's goal is to move from automated test execution towards a highly automated test lifecycle. We explore Self-healing Test Automation, Automatic Failure Analysis, and other valuable insights from intelligent testing solutions. We want to support testers by letting AI do the boring and repetitive tasks around testing, leaving them more time for the tasks that are really fun.
Watch this webinar to see what AI4T can do for you!
