计算机学科前沿论坛之十三
报告题目：Release Engineering in the AI World: How can Analytics Help?
报告人：Bram Adams 教授 博导
报告时间：2023年12月06日14:30-15:30
报告地点：中国矿业大学计算机学院 A501
报告摘要：
The last decade, the practices of continuous delivery and deployment have taken the software engineering world by storm. While applications used to be released in an ad hoc manner, breakthroughs in (amongst others) continuous integration, infrastructure-as-code and log monitoring have turned the reliable release of cloud applications into a manageable achievement for most companies. However, the advent of AI models seems to have caused a "reset", pushing companies to reinvent the way in which they release high-quality products that now not only rely on source code, but also on data and models. This talk will focus on the key ingredients of successful pre-AI release engineering practices, then will connect those to newly emerging, post-AI release engineering practices. After this talk, the audience will understand the major challenges software companies face to release their AI product multiple times a day, as well as the opportunities for predictive models and data analytics.
个人简介：
Bram Adams is a full professor at Queen's University (until June 2020:Polytechnique Montreal). He obtained his PhD in 2008 at Ghent University's GH-SEL lab (Belgium), collaborating extensively with VUB's SOFT (then: PROG). His research interests include software release engineering, mining software repositories, and the role of human affect in software engineering. His work has been published at premier software engineering venues such as ICSE, FSE, MSR, ICSME, EMSE and TSE, and received the 2021 Mining Software Repositories Foundational Contribution Award. In addition to co-organizing the RELENG International Workshop on Release Engineering from 2013 to 2015 (and the 1st/2nd IEEE Software Special Issue on Release Engineering), he co-organized the SEMLA, SoHEAL, PLATE, ACP4IS, MUD and MISS workshops, and the MSR Vision 2020 Summer School. He has been PC co-chair of SCAM 2013, SANER 2015, ICSME 2016 and MSR 2019, and ICSE 2023 software analytics area co-chair. He is a Senior IEEE Member.
