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

25 citations · 27 across the 7 of their papers we have counts for

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cs.SE2025

Generating High-Quality Datasets for Code Editing via Open-Source Language Models

Zekai Zhang, Mingwei Liu, Zhenxi Chen +7

Code editing plays a vital role in software engineering, requiring developers to adjust existing code according to natural language instructions while keeping functionality intact…

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.SE2025

LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance

Jingwen Tan, Gopi Krishnan Rajbahadur, Zi Li +5

Dataset license compliance is a critical yet complex aspect of developing commercial AI products, particularly with the increasing use of publicly available datasets. Ambiguities i…

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…