Abstract: Various AI technologies are making enormous progress at dumbfounding speed.

This is, for example, the case of language models, few-shot learning, or clustering methods. This has an impact on many aspects of software engineering, ranging from requirements elicitation to automated testing and run-time verification. This talk and the ensuing discussion will discuss the implications of those changes for our community.

Bio: Lionel C. Briand is professor of software engineering and has shared appointments between (1) The University of Ottawa, Canada and (2) The SnT centre for Security, Reliability, and Trust, University of Luxembourg. In collaboration with colleagues, over 25 years, he has run many collaborative research projects with companies in the automotive, satellite, aerospace, energy, financial, and legal domains. Lionel has held various engineering, academic, and leading positions in six countries. He was one of the founders of the ICST conference (IEEE Int. Conf. on Software Testing, Verification, and Validation, a CORE A event) and its first general chair. He was also EiC of Empirical Software Engineering (Springer) for 13 years and led, in collaboration with first Victor Basili and then Tom Zimmermann, the journal to the top tier of the very best publication venues in software engineering.

http://www.lbriand.info