报告题目：Bridging the Gap between AI and SE
Today, data miners often apply or extend AI techniques to solve problems across many domains (e.g., social media, health informatics, and software systems). The research tries to bridge the gap between both types of experts (i.e., Data miners and Domain Experts). This talk will focus on the software engineering domain and give an overview of several challenges facing data miner and domain experts as they make use of automated techniques, in particular:(1) strong performance of techniques is not sufficient, instead a deeper understanding of the domain is essential; (2) results should be presented in a domain-centric context; (3) an easy approach might perform better than a complex approach.
Dr. Xin Xia is an ARC DECRA Fellow and a lecturer at the Faculty of Information Technology, Monash University, Australia. His current research focuses on mining and analyzing rich data in software repositories to uncover interesting and actionable information. Dr. Xia has published 152 scientific papers in refereed journals and conferences, including 34 CCF A Conference. His service includes serving as an organizer of ASE 2020, ICSME 2020, and SANER 2019, and as the program committee of Software Engineering conferences and journals, e.g., ICSE, ESEC/FSE and ASE.