STAREAST Virtual+ 2020 - AI
Wednesday, May 6
Test Machina: Demystifying AI-Driven Test Automation
Software vendors and practitioners are using artificial intelligence (AI) and machine learning (ML) to create a new wave of test automation tools. Such tools leverage autonomous and intelligent agents to explore, model, reason and learn about a software product. But how do these testing robots really work? Is this technology any good? And can we really trust it to validate software? Tariq King will introduce you to the world of AI-driven test automation and discuss its benefits, challenges and other limitations. Learn how test bots use AI/ML technologies to mimic human testing activities...
Driving Testing Insights with the Voice of the Customer
Testing is the final step prior to launch, and as a result, testing timelines are often compromised to meet overall project timelines. Under these circumstances, a risk-based testing strategy becomes the status quo to roll out the product with minimal priority issues. To leverage risk-based tests, teams have traditionally relied on a tester-centric approach by focusing on the testers' subject matter expertise, the application's defect-prone areas, and frequently executed test cases. However, we now have an opportunity to enhance and transform our risk-based testing approach to be more user...