ICSE 2024
Fri 12 - Sun 21 April 2024 Lisbon, Portugal
Thu 18 Apr 2024 15:13 - 15:20 at Luis de Freitas Branco - Analysis 2 Chair(s): Luís Cruz

Tracing, a technique essential for unraveling the complexities of computer systems’ behavior, involves the organized collection of low-level events, enabling anomaly identification, performance debugging, and root-cause analysis. However, the significant overhead it imposes on large-scale systems, particularly in terms of performance and storage, has made it a less favorable tool for system maintenance. Previous efforts to mitigate tracing’s burden have mostly centered around automating trace analysis but have primarily neglected the duration of events, a significant aspect of the information provided by tracers. To address these challenges, we propose an Adaptive Tracing method that leverages Language Models and kernel trace for precise system modeling. This novel approach minimizes overhead by recording detailed traces only during significant behavioral shifts and focusing on subsystems related to the root-cause. Using a multi-task model, incorporating system call sequences and durations, we propose a root-cause analysis method, enhancing model transparency and enabling targeted system tracing. Evaluation using a dataset of normal and noisy traces from an Apache server reveals that our Adaptive Tracer method captures events related to abrupt changes with only 5.8% loss, reducing the collected trace by 77.1%, and accurately determining the respective noise set with 92.7% accuracy, outperforming previous state-of-the-art trace models by 20.4%.

Thu 18 Apr

Displayed time zone: Lisbon change

14:00 - 15:30
14:00
15m
Talk
RogueOne: Detecting Rogue Updates via Differential Data-flow Analysis Using Trust Domains
Research Track
Raphael J. Sofaer Columbia University, Yaniv David Columbia University, Mingqing Kang Johns Hopkins University, Jianjia Yu Johns Hopkins University, Yinzhi Cao Johns Hopkins University, Junfeng Yang Columbia University, Jason Nieh Columbia University
DOI Pre-print
14:15
15m
Talk
ACAV: A Framework for Automatic Causality Analysis in Autonomous Vehicle Accident Recordings
Research Track
Huijia Sun ShanghaiTech University, China, Chris Poskitt Singapore Management University, Yang Sun Singapore Management University, Jun Sun Singapore Management University, Yuqi Chen ShanghaiTech University, China
Pre-print
14:30
15m
Talk
Efficiently Trimming the Fat: Streamlining Software Dependencies with Java Reflection and Dependency Analysis
Research Track
Xiaohu Song Northeastern University, Ying Wang Northeastern University, Xiao Cheng Huawei Technologies Co., Ltd., Guangtai Liang Huawei Cloud Computing Technologies, Qianxiang Wang Huawei Technologies Co., Ltd, Zhiliang Zhu Northeastern University, China
14:45
7m
Talk
Probabilistic Safe WCET Estimation for Weakly Hard Real-Time Systems at Design Stages
Journal-first Papers
Jaekwon Lee University of Ottawa & University of Luxembourg, Seung Yeob Shin University of Luxembourg, Lionel Briand University of Ottawa, Canada; Lero centre, University of Limerick, Ireland, Shiva Nejati University of Ottawa
14:52
7m
Talk
Are automated static analysis tools worth it? An investigation into relative warning density and external software quality on the example of Apache open source projects
Journal-first Papers
Alexander Trautsch University of Passau, Steffen Herbold University of Passau, Jens Grabowski University of Göttingen
14:59
7m
Talk
Actor-driven Decomposition of Microservices through Multi-level Scalability Assessment
Journal-first Papers
Carmine Colarusso University of Sannio, Benevento, Matteo Camilli Politecnico di Milano, Barbara Russo , Eugenio Zimeo University of Sannio, Benevento
15:06
7m
Talk
TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools
Demonstrations
Ashwin Prasad Shivarpatna Venkatesh University of Paderborn, Samkutty Sabu University of Paderborn, Jiawei Wang Monash University, Amir Mir Delft University of Technology, Li Li Beihang University, Eric Bodden
15:13
7m
Talk
Toward Adaptive Tracing: Efficient System Behavior Analysis using Language Models
New Ideas and Emerging Results
Kasra Darvishi Brock University, Morteza Noferesti Brock University, Naser Ezzati Jivan
Link to publication