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工程学部、信息学院学术论坛:Bridging the Gap between AI and SE
作者:信息学院  来源:信息学院  编辑:王文艳   点击:[] 日期:2019年12月30日

报告题目:Bridging the Gap between AI and SE

报告时间:2020年1月6日(周一)9:30~11:30

报告地点:崂山校区D2-402报告厅

报告人:夏鑫博士澳大利亚莫纳什大学

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) results should be presented in a domain-centric context; (3) an easy approach might perform better than a complex approach. I will present examples from my research to explain what these challenges are, why do 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。他的研究方向是软件仓库挖掘和软件解析学。夏鑫至今发表了152篇期刊和会议论文,其中包括34篇CCF A类期刊和会议长文(包括17篇TSE,8篇ASE),57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3篇ACM SIGSOFT Distinguished Paper Award(ASE 2018和2019, ICPC 2018),ESEC/FSE 2019 Best Tool Demo Award。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/

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