This program is tentative and subject to change.
Debugging software, i.e., the localization of faults and their repair, is a main activity in software engineering. Therefore, effective and efficient debugging is one of the core skills a software engineer must develop. However, the teaching of debugging techniques is usually very limited or only taught in indirect ways, e.g., during software projects. As a result, most Computer Science (CS) students learn debugging only in an ad-hoc and unstructured way. In this work, we present our approach called \textit{Simulated Interactive Debugging} that interactively guides students along the debugging process. The guidance aims to empower the students to repair their solutions and have a proper “learning” experience. We envision that such guided debugging techniques can be integrated into programming courses early in the CS education curriculum. To perform an initial evaluation, we developed a prototypical implementation using traditional fault localization techniques and large language models. Students can use features like the automated setting of breakpoints or an interactive chatbot. We designed and executed a controlled experiment that included this IDE-integrated tooling with eight undergraduate CS students. Based on the responses, we conclude that the participants liked the systematic guidance by the assisted debugger. In particular, they rated the automated setting of breakpoints as the most effective, followed by the interactive debugging and chatting, and the explanations for how breakpoints were set. In future, we will improve/extend our concept and implementation, and perform more intensive user studies.
This program is tentative and subject to change.
Mon 17 NovDisplayed time zone: Seoul change
16:00 - 17:10 | |||
16:00 10mTalk | Interaction-Aware Patch Assessment for Multi-Fault Automated Program Repair NIER Track Omar I. Al-Bataineh Gran Sasso Science Institute (GSSI) | ||
16:10 10mTalk | Simulated Interactive Debugging NIER Track Yannic Noller Ruhr University Bochum, Erick Chandra Singapore University of Technology and Design, Srinidhi HC Singapore University of Technology and Design, Kenny Choo Singapore University of Technology and Design, Cyrille Jegourel ISTD, Singapore University of Technology and Design, Oka Kurniawan Singapore University of Technology and Design, Chris Poskitt Singapore Management University Pre-print | ||
16:20 10mTalk | KAIOps: A Platform Solution of End-to-End Multi-Modal AIOps for AI Training at Scale Industry Showcase Zeying Wang Beihang University, Junhong Liu Beihang University, Penghao Zhang Kuaishou Inc., Xiaoyang Sun University of Leeds, Xu Wang Beihang University, Tianyu Wo , Chunming Hu Beihang University, Chengru Song Kuaishou Technology, Jin Ouyang Kuaishou Inc., Renyu Yang | ||
16:30 10mTalk | KAIR: A Statistical and Causal Approach to Pinpointing Stragglers in Distributed Model Training Industry Showcase Yitang Yang Beihang University, Junhong Liu Beihang University, Jiapeng Chen Kuaishou Inc., Xiaoyang Sun University of Leeds, Tianyu Wo , Chunming Hu Beihang University, Chengru Song Kuaishou Technology, Jin Ouyang Kuaishou Inc., Renyu Yang | ||
16:40 10mTalk | BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Industry Showcase Yuanpeng Li ByteDance, Qi Long Carnegie Mellon University, Zhiyuan Yao Zhejiang University, Jian Xu ByteDance, Lintao Xie ByteDance, Xu He ByteDance, Lu Geng ByteDance, Xin Han ByteDance, Yueyan Chen ByteDance, Wenbo Duan ByteDance | ||
16:50 10mTalk | TrioXpert: An automated incident management framework for microservice system Industry Showcase Yongqian Sun Nankai University, Yu Luo Nankai University, Xidao Wen BizSeer, Yuan Yuan National University of Defense Technology, China, Xiaohui Nie Computer Network Information Center at Chinese Academy of Sciences, Shenglin Zhang Nankai University, Tong Liu Lenovo (TianJin) Co., Ltd., Xi Luo Lenovo (TianJin) Co., Ltd. | ||
17:00 10mTalk | eARCO: Efficient Automated Root Cause Analysis with Prompt Optimization Industry Showcase Drishti Goel University of Illinois Urbana Champaign, Raghav Magazine Microsoft Research, Supriyo Ghosh Microsoft, Akshay Nambi Microsoft Research, Prathamesh Deshpande Microsoft, Xuchao Zhang Microsoft, Chetan Bansal Microsoft Research, Saravan Rajmohan Microsoft | ||