Dr. Song Wang

Biography

Song Wang obtained his Ph.D. degree from the University of Waterloo in January 2019. He is currently serving as an Associate Editor for the ACM Transactions on Software Engineering Methodology (TOSEM). His research operates at the intersection of Software Engineering and Artificial Intelligence, focusing specifically on leveraging AI technologies to address challenges in software reliability practices, a field referred to as AI in Software Engineering (AI SE). Additionally, he develops software reliability assurance techniques aimed at enhancing the reliability of AI systems, identified as Software Engineering for AI (SE AI). His work also explores the application of Large Language Models (LLMs) in optimizing and reshaping software testing practices, including mobile testing, fuzz testing, and functional testing, collectively referred to as LLM Testing. To date, he has published over 60 papers in prestigious IEEE/ACM Software Engineering journals and flagship conferences, accumulating 2,600 citations. His work has received multiple paper awards, including the Distinguished Paper Award at APSEC’23, ACM Distinguished Paper Award at ICPC’22, ACM Distinguished Paper Award at ICSE’20, and Paper Award at PROMISE’19. He was recognized as one of the top 10 impactful early-career researchers by the Software Engineering Journal Systems Software in 2020.

Research Interests

Experience

Awards