activity
20232026
most citedFace It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs

25 citations · 28 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SE2026

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…

cs.SE2026

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…

cs.SE2026

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…

cs.SE2026

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…

cs.SE2025

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…

cs.SE2025

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…

cs.SE2024

eWAPA: An eBPF-based WASI Performance Analysis Framework for WebAssembly Runtimes

Chenxi Mao, Yuxin Su, Shiwen Shan +1

WebAssembly (Wasm) is a low-level bytecode format that can run in modern browsers. With the development of standalone runtimes and the improvement of the WebAssembly System Interfa…

cs.SE2024★ 25 cited

Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs

Shiwen Shan, Yintong Huo, Yuxin Su +3

Configurable software systems are prone to configuration errors, resulting in significant losses to companies. However, diagnosing these errors is challenging due to the vast and c…

cs.SE2023

EvLog: Identifying Anomalous Logs over Software Evolution

Yintong Huo, Cheryl Lee, Yuxin Su +3

Software logs record system activities, aiding maintainers in identifying the underlying causes for failures and enabling prompt mitigation actions. However, maintainers need to in…

cs.PF2023★ 3 cited

eBPF-based Working Set Size Estimation in Memory Management

Zhilu Lian, Yangzi Li, Zhixiang Chen +3

Working set size estimation (WSS) is of great significance to improve the efficiency of program executing and memory arrangement in modern operating systems. Previous work proposed…