STARWEST 2019 - Test Analytics, AI/ ML
Wednesday, October 2
From Zero to AI Hero
PreviewAI is here. Will it take over your job? Is it possible to make it beneficial, not detrimental to your career? Kevin Pyles and his team jumped right into the AI universe. Untrained and inexperienced, they realized immediately that they knew nothing, but they were motivated to learn and experiment so they could be part of this revolution. Kevin will show you how his team went from little knowledge of machine learning algorithms, artificial intelligence, and, in some cases, even programming and automation to implementing custom automation frameworks, data analytics, and machine...
What’s Our Job When the Machines Do Testing?
Members of the engineering community are beginning to explore the exciting capabilities of artificial intelligence in order to remove even more mundane and manual tasks from our jobs. The next generation of automation within the software development lifecycle comes to us in the form of AI-inspired approaches: analytics, machine learning, and natural language processing. Geoff Meyer refers to this as cognitive automation, and it offers the promise of automating tasks that up until now could only be performed by humans. However, engineering practitioners going down the path of cognitive...
Testing AI-Based Systems: A Gray-Box Approach
Testing artificial intelligence- and machine learning-based systems presents two key challenges. First, the same input can trigger different responses as the system learns and adapts to new conditions. Second, it tends to be difficult to determine exactly what the correct response of the system should be. Such system characteristics make test scenarios difficult to set up and reproduce and can cause us to lose confidence in test results. Yury Makedonov will explain how to test AI/ML-based systems by combining black box and white box testing techniques. His "gray box" testing approach...