On the Impact of Large Language Models on Software Development Process

Prof. Shing-Chi Cheung, HKUST

Date: 22 September 2023 (Friday)
Time: 12:10-12:30pm HKT
Venue: IAS4042 Seminar Room, Lo Ka Chung Building, HKUST
Title: On the Impact of Large Language Models on Software Development Process
Speaker: Prof. Shing-Chi Cheung, HKUST

Abstract

Large language models (LLMs) have shown great potential in assisting various programming tasks, such as code generation, code summarization, test generation, and program repair. These new capabilities offered by LLMs can revolutionize our software development processes. In this talk, we will examine the possible changes in the roles of software engineers and discuss our experience in using LLMs for coding tasks.

Biography

Shing-Chi Cheung received his doctoral degree in Computing from Imperial College London. After that, he joined the Hong Kong University of Science and Technology (HKUST), where he is a chair professor of Computer Science and Engineering. He founded the CASTLE research group at HKUST and co-founded in 2006 the International Workshop on Automation of Software Testing (AST), which is now an annual IEEE international conference. He was the General Chair of the 22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE 2014). He was an editorial board member of the IEEE Transactions on Software Engineering (TSE, 2006-9). He chaired the 19th Asia-Pacific Software Engineering Conference (APSEC) in 1996, 1997 and 2012. He was the General Chair of the 22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE 2014). His research interests focus on the use of advanced testing, analysis, AI techniques and empirical experimentation techniques for the detection, diagnosis, and repair of faults in dependable and intelligent software systems. More information about his CASTLE research group can be found at http://castle.cse.ust.hk/castle/people.html. He is an ACM Distinguished Member and an IEEE Fellow.