| 日時(Date) | 2026年11月20日（金） / November 20, 2026 (Fri.) 15:10–16:40 |
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| 場所(Location) | L2教室 / Lecture Room L2 |
| 講演形態(Format) | 対面 / In person |
| 司会(Chair) | 柏 祐太郎 / Yutaro Kashiwa |
| 講演言語(Language) | 英語 / English |
| 講演者(Presenter) | Assoc. Prof. Shin Hwei Tan, Concordia University |
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| 題目(Title) | Towards ethically sourced code generation |
| 概要(Abstract) | There are growing interests over various ethical issues (e.g., unclear licensing, privacy, fairness, and environment impact) in the process of software development. In this talk, I will introduce our work on ethically sourced code generation that recently won ICSE26 Distinguished Paper Award. I will introduce the novel notion of Ethically Sourced Code Generation (ES-CodeGen), which refers to managing all processes involved in code generation model development from data collection to post-deployment via ethical and sustainable practices. The concept of ES-CodeGen draws upon insights gained from our multi-disciplinary literature review and survey with experienced developers. Our study identifies several findings and key challenges for future research towards ethically sourced code generation. The talk will end with a discussion that calls for new idea and novel techniques that aim to enhance various dimensions of ethically sourced code generation with the hope of getting a step closer to the golden standard of ES-CodeGen. |
| 講演者紹介(Introduction of Lecturer) | Shin Hwei Tan is an Associate Professor (Gina Cody Research Chair) in Concordia University. Before moving to Concordia University, she was an Assistant Professor in Southern University of Science and Technology in Shenzhen, China. She obtained her PhD degree from National University of Singapore and her B.S (Hons) and MSc degree from University of Illinois at Urbana-Champaign. Her main research interests are in automated program repair, software testing and open-source development. She is an Associate Editor for TOSEM and the Guest Editors-in-Chief for the New Frontier in Software Engineering track in TOSEM. She has also served as PCs for top-tier software engineering conferences, where she won 3 best reviewers award (FSE 2020, ASE 2020, ICSE 2022 NIER-track). She is also the general chair of FSE26 which will be held in Concordia University. She recently won the 2025 ACM-W Rising Star Award, ACM SIGSOFT Distinguished Paper award for ICSE 2025, ICSE 2026 and IEEE Distinguished Paper Award for ICST 2025. |
| 講演者(Presenter) | Assoc. Prof. Heng Li, Polytechnique Montréal |
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| 題目(Title) | Software Observability: Challenges, Research, and Opportunities |
| 概要(Abstract) | Software observability, typically provided through logging, tracing, and counting, is increasingly important as software systems and their operational environments grow more complex and autonomous. On the one hand, observability provides critical information (logs, traces, counters) for understanding systems, detecting anomalies, diagnosing failures, and attributing faults. On the other hand, depending on the instrumentation or sampling mechanisms, observability introduces varying levels of side effects to the observed system (a.k.a., observer effect), including performance/resource overhead, privacy exposure, analysis overhead, and even system corruption. In this talk, Heng Li will share how their recent research addresses these observability challenges. He will also discuss emerging research venues, in particular, how observability could be better managed by and for agentic AI systems. |
| 講演者紹介(Introduction of Lecturer) | Heng Li is an Associate Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, the engineering school of the University of Montréal. He holds a Ph.D. in Computing from Queen's University (Kingston, Canada), an M.Sc. from Fudan University (Shanghai, China), and a B.Eng. from Sun Yat-sen University (Guangzhou, China). He is also a certified professional engineer (P. Eng.). Before his academic career, he spent several years in industry as a Software R&D Engineer at Synopsys and a Software Performance Engineer at BlackBerry. In the MOOSE Lab (moose.polymtl.ca), he and his students conduct research that aims to make modern software systems more efficient, reliable, and sustainable, primarily through enhanced observability and intelligent analysis. He is Chair of the Standard Performance Evaluation Corporation (SPEC) Research Group (RG) – DevOps Performance Working Group. He has received several distinguished awards, including two times of the ACM SIGSOFT Distinguished Paper Awards. More about him and his students at https://moose.polymtl.ca/. |