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

25 citations · 54 across the 19 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.SE2024★ 6 cited

LogUpdater: Automated Detection and Repair of Specific Defects in Logging Statements

Renyi Zhong, Yichen Li, Jinxi Kuang +3

Developers use logging statements to track software runtime behaviors and system status. Yet, unclear or misleading logs can hide true execution patterns and hinder software mainte…

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.SE2024★ 11 cited

FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems

Junjie Huang, Jinyang Liu, Zhuangbin Chen +7

Postmortem analysis is essential in the management of incidents within cloud systems, which provides valuable insights to improve system's reliability and robustness. At CloudA, fa…

cs.SE2024★ 1 cited

Go Static: Contextualized Logging Statement Generation

Yichen Li, Yintong Huo, Renyi Zhong +6

Logging practices have been extensively investigated to assist developers in writing appropriate logging statements for documenting software behaviors. Although numerous automatic…

cs.SE2024

Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context

Yichen Li, Yun Peng, Yintong Huo +1

Large Language Models (LLMs) have achieved remarkable success in code completion, as evidenced by their essential roles in developing code assistant services such as Copilot. Being…

cs.SE2024★ 4 cited

MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection

Jinyang Liu, Wenwei Gu, Zhuangbin Chen +3

Key Performance Indicators (KPIs) are essential time-series metrics for ensuring the reliability and stability of many software systems. They faithfully record runtime states to fa…