ASE 2025
Sun 16 - Thu 20 November 2025 Seoul, South Korea

This program is tentative and subject to change.

Mon 17 Nov 2025 16:10 - 16:20 at Grand Hall 1 - Program Repair 3

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 Nov

Displayed time zone: Seoul change

16:00 - 17:10
16:00
10m
Talk
Interaction-Aware Patch Assessment for Multi-Fault Automated Program Repair
NIER Track
Omar I. Al-Bataineh Gran Sasso Science Institute (GSSI)
16:10
10m
Talk
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
10m
Talk
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
10m
Talk
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
10m
Talk
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
10m
Talk
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
10m
Talk
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