6 papers
MicroAgent: Context-Augmented Multi-Agent Framework for Automatic Microservice Decomposition
Zishan Su, Junjie Huang, Shiwen Shan +5
The adoption of Microservice Architecture (MSA) has revolutionized software engineering by enhancing scalability, agility, and maintainability over traditional monolithic applicati…
CelerLog: Fast Log Parsing via Dynamic Routing
Shiwen Shan, Yintong Huo, Minxing Wang +3
Log parsing is a fundamental step for automated log analysis, which transforms raw log messages into structured formats. Existing syntax-based parsers struggle with complex logs be…
AnomalyGen: Enhancing Log-Based Anomaly Detection with Code-Guided Data Augmentation
Xinyu Li, Yintong Huo, Chenxi Mao +4
Log-based anomaly detection is fundamentally constrained by training data sparsity. Our empirical study reveals that public benchmark datasets cover less than 10% of source code lo…
LogFold: Compressing Logs with Structured Tokens and Hybrid Encoding
Shiwen Shan, Yintong Huo, Hongzhan Zhong +3
Logs are essential for diagnosing failures and conducting retrospective studies, leading many software organizations to retain log messages for a long time. Nevertheless, the volum…
ConfLogger: Enhance Systems' Configuration Diagnosability through Configuration Logging
Shiwen Shan, Yintong Huo, Yuxin Su +3
Modern configurable systems offer customization via intricate configuration spaces, yet such flexibility introduces pervasive configuration-related issues such as misconfigurations…
AnomalyGen: An Automated Semantic Log Sequence Generation Framework with LLM for Anomaly Detection
Xinyu Li, Yingtong Huo, Chenxi Mao +4
The scarcity of high-quality public log datasets has become a critical bottleneck in advancing log-based anomaly detection techniques. Current datasets exhibit three fundamental li…