Simulated environments are essential for testing smart software-intensive systems that rely on AI components in domains like manufacturing, automotive or aerospace. However, it is essential to guide testing by requirements which enable the coverage of risks. This approach has also high potentials for virtual certification of system components, which has huge potential to save cost in safety-critical system design. In this talk, we present an approach to risk-driven automated testing of collaborative AI systems in the manufacturing domain and reflect on potentials and limitations of risk-driven testing and certification in safety-critical domains.

Prof. Michael Felderer is the Director of the Institute for Software Technology at German Aerospace Center (DLR) and full professor at the University of Cologne. His fields of expertise and interest include software testing and quality assurance, security engineering, research software engineering as well as software engineering for AI, simulation, and quantum technologies. He was associate professor at the University of Innsbruck (Austria), guest professor at the Blekinge Institute of Technology (Sweden) as well as CEO of the academic spin-off QE LaB Business Services. His research is performed in close collaboration with companies and directed towards the development and evaluation of efficient and effective methods to improve the quality, trustworthiness and value of industrial software systems and processes. Michael Felderer has co-authored more than 150 publications and received 14 best paper awards. He is recognized by the Journal of Systems and Software (JSS) as one of the twenty most active established Software Engineering researchers world-wide in the period 2013 to 2020.