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

This program is tentative and subject to change.

Mon 17 Nov 2025 12:20 - 12:30 at Grand Hall 5 - Log & Dependency

Frequent software updates lead to log evolution, posing generalization challenges for current log anomaly detection. Traditional log anomaly detection research focuses on using small deep learning models (SMs), but these models inherently lack generalization due to their closed-world assumption. Large Language Models (LLMs) exhibit strong semantic understanding and generalization capabilities, making them promising for log anomaly detection. However, they suffer from computational inefficiencies. To balance efficiency and generalization, we propose a collaborative log anomaly detection scheme using an adaptive coordinator to integrate SM and LLM. The coordinator determines if incoming logs have evolved. Non-evolutionary los routed to the SM, while evolutionary logs are directed to the LLM for detailed inference using the constructed Evol-CoT. To gradually adapt to evolution, we introduce the adaptive evolve mechanism (AEM) updates the coordinator to redirect evolutionary logs identified by the LLM to the SM. Simultaneously, the SM is fine-tuned to inherit the LLM’s judgment on these logs. Extensive experiments on real-world log evolution dataset demonstrate that \method achieves superior F1-scores in both intra-version and inter-version anomaly detection. Additionally, \method reduces processing time by 91.63% and token consumption by 85.59% compared to using an LLM alone.

This program is tentative and subject to change.

Mon 17 Nov

Displayed time zone: Seoul change

11:00 - 12:40
11:00
10m
Talk
LogMoE: Lightweight Expert Mixture for Cross-System Log Anomaly Detection
Research Papers
Jiaxing Qi Beihang University, Zhongzhi Luan Beihang University, Shaohan Huang Beihang University, Carol Fung Concordia University, Yuchen Wang Beihang University, Aibin Wang Beihang University, Hongyu Zhang Chongqing University, Hailong Yang Beihang University, China, Depei Qian Beihang University, China
11:10
10m
Talk
Improving LLM-based Log Parsing by Learning from Errors in Reasoning Traces
Research Papers
Wang Jialai National University of Singapore, Juncheng Lu Southeast University, Jie Yang Wuhan University, Junjie Wang Institute of Software at Chinese Academy of Sciences, Zeyu Gao Tsinghua University, Chao Zhang Tsinghua University, Zhenkai Liang NUS, Ee-Chien Chang School of Computing, NUS
11:20
10m
Talk
LogUpdater: Automated Detection and Repair of Specific Defects in Logging Statements
Journal-First Track
Renyi Zhong The Chinese University of Hong Kong, Yichen LI ByteDance, Jinxi Kuang The Chinese University of Hong Kong, Wenwei Gu The Chinese University of Hong Kong, Yintong Huo Singapore Management University, Singapore, Michael Lyu The Chinese University of Hong Kong
11:30
10m
Talk
LogAction: Consistent Cross-system Anomaly Detection through Logs via Active Domain Adaptation
Research Papers
Chiming Duan Peking University, Minghua He Peking University, Pei Xiao Peking University, Tong Jia Institute for Artificial Intelligence, Peking University, Beijing, China, Xin Zhang Peking University, Zhewei Zhong Bytedance, Xiang Luo Bytedance, Yan Niu Bytedance, Lingzhe Zhang Peking University, China, Yifan Wu Peking University, Siyu Yu The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Weijie Hong Peking university, Ying Li School of Software and Microelectronics, Peking University, Beijing, China, Gang Huang Peking University
11:40
10m
Talk
Diplomatist: What Do Cross-language Dependencies Reflect Software Ecosystem Health?
Research Papers
Fanyi Meng Shenyang University of Technology, Ying Wang Northeastern University, Chun Yong Chong Monash University Malaysia, Hai Yu Northeastern University, China, Zhiliang Zhu Northeastern University, China
11:50
10m
Talk
Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning
Research Papers
Xin Wang Changsha University of Science and Technology, Zhenhao Li York University, Zishuo Ding The Hong Kong University of Science and Technology (Guangzhou)
12:00
10m
Talk
Which Is Better For Reducing Outdated And Vulnerable Dependencies: Pinning Or Floating?
Research Papers
Imranur Rahman North Carolina State University, Jill Marley North Carolina State University, William Enck North Carolina State University, Laurie Williams North Carolina State University
12:10
10m
Talk
On Automating Configuration Dependency Validation via Retrieval-Augmented Generation
Research Papers
Sebastian Simon Leipzig University, Alina Mailach Leipzig University, Johannes Dorn Leipzig University, Norbert Siegmund Leipzig University
Pre-print
12:20
10m
Talk
CollaborLog: Efficient-Generalizable Log Anomaly Detection via Large-Small Model Collaboration in Software Evolution
Research Papers
Pei Xiao Peking University, Chiming Duan Peking University, Minghua He Peking University, Tong Jia Institute for Artificial Intelligence, Peking University, Beijing, China, Yifan Wu Peking University, Jing Xu ByteDance, Gege Gao ByteDance, Lingzhe Zhang Peking University, China, Weijie Hong Peking university, Ying Li School of Software and Microelectronics, Peking University, Beijing, China, Gang Huang Peking University
12:30
10m
Talk
On the Robustness Evaluation of 3D Obstacle Detection Against Specifications in Autonomous Driving
Research Papers
Tri Minh-Triet Pham Concordia University, Bo Yang Concordia University, Jinqiu Yang Concordia University