Abstract: Artificial intelligence and machine learning are rapidly transforming the field of software engineering. From automated code generation to intelligent debugging and testing, AI and ML are providing new tools and capabilities that are changing the way we build and maintain software. In this talk, I will explore the current and potential future roles of AI and ML in software engineering and discuss how these technologies are already having an impact on the industry. I will also consider the challenges and considerations that come with the increasing use of AI and ML in software development. This talk will provide an overview of the exciting opportunities and potential pitfalls of AI and ML in software engineering.

Bio: Thomas Zimmermann is a Sr. Principal Researcher in the Productivity and Intelligence (P+I) and Software Analysis and Intelligence (SAINTes) groups at Microsoft Research. His professional interests are software engineering, data science, and recommender systems. He is best known for his research on systematic mining of version archives and bug databases to conduct empirical studies and to build tools to support developers and managers. At Microsoft, he uses both quantitative and qualitative methods to investigate and overcome software engineering challenges. His current work is on productivity of software developers and data scientists at Microsoft. In the past, he analyzed data from digital games, branch structures, and bug reports.