Hier ein kleiner Abstract (der Talk ist in Englisch):
Machine learning (ML) has become the epicenter of software in today’s era. Tremendous efforts are put into developing ML-based systems.
But what about ensuring the quality of such applications? What role can testers play in this context?
Usually, testing takes a backseat here, and testers need help finding their role and the contributions they could make. The perception remains that “it’s machine learning; it cannot be tested.” But is this really the case? If not, how can we break this myth? How can testers make their space in the ML world?
Join Shivani as she explores answers to such questions and many more by sharing her experience of testing ML-based applications without any prior experience. She’ll reflect on her motivation, challenges, learnings, and techniques to test such systems. Get to know how a tester's skill set, like product knowledge, attention to detail, thinking out of the box, and customer focus can be a game changer here. She’ll leave you with tips, tricks, and ideas on how to create an impact on quality in such projects.