报告标题: Bridging the Gap between AI and SE

报告人: 夏鑫

报告时间: 2020年10月19日(周一) 14:00

报告地点: 计算机科学技术楼231室

报告摘要:

Today, data miners often apply or extend AI techniques to solve problems across many domains (e.g., social media, health informatics, and software systems); while domain experts leverage their own domain knowledge to solve their own problems. Data miners often apply their automated techniques to solve a wide range of problems across different domains with limited knowledge of the domain; while domain experts often have limited knowledge of automated techniques when solving their domain-specific problems.

My research tries to bridge the gap between both types of experts (i.e., Data miners and Domain Experts). In this talk, I will focus on the software engineering domain and I will 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) an easy approach might perform better than a complex approach; (3) results should be presented in a domain-centric context. I will present examples from my research to explain what these challenges are, why they appear, and my efforts to avoid them. 

报告人简介:

夏鑫是澳大利亚蒙纳士大学的ARC DECRA Fellow和讲师。他的研究方向是智能软件工程、软件仓库挖掘和经验软件工程。夏鑫至今发表了185篇期刊和会议论文，其中包括49篇CCF A类期刊和会议长文（包括23篇TSE，6篇TOSEM和12篇ASE），65篇CCF B类期刊和会议长文。部分论文获得国际会议最佳/杰出论文奖项，包括5篇ACM SIGSOFT 杰出论文奖（ASE 2018、2019和2020， ICPC 2018和2020）。此外他担任了MSR和SANER会议的Steering Committee，多个国际会议的PC (ICSE，ESEC/FSE, ASE等)，以及参与组织了多个国际会议（ASE 2020，ICSME 2020, SANER 2019等）。更多信息在https://xin-xia.github.io/