What you will learn
- How to describe approaches and tools that leverage AI and ML for automated software testing in practice.
- Be able to identify some of the key challenges and methods associated with testing AI and ML-based systems
- Assess the need for designing AI/ML based systems with embedded self-testing capabilities
- 3.5 Hours
- Interactive Tutorial
- New technologies and challenges
Chief Scientist – test.ai, USA
Tariq King enjoys breaking things and is currently the Chief Scientist at test.ai, where he leads research and development of their core platform for AI-driven testing. He started his career in academia as a tenure-track professor and later transitioned into the software industry. Tariq previously held positions as a test architect, manager, director, and head of quality. He has published over 40 articles in peer-reviewed software testing books, journals, conferences, and workshops. He is a member of the ACM and IEEE Computer Society, and serves as a board member and keynote speaker for several international software engineering and testing conferences.
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