91 citations · 99 across the 10 of their papers we have counts for
7 papers · 2 filters
Studying and Benchmarking Large Language Models For Log Level Suggestion
Yi Wen Heng, Zeyang Ma, Zhenhao Li +3
Large Language Models (LLMs) have become a focal point of research across various domains, including software engineering, where their capabilities are increasingly leveraged. Rece…
A Multi-Agent Approach to Fault Localization via Graph-Based Retrieval and Reflexion
Md Nakhla Rafi, Dong Jae Kim, Tse-Hsun Chen +1
Identifying and resolving software faults remains a challenging and resource-intensive process. Traditional fault localization techniques, such as Spectrum-Based Fault Localization…
LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language Models
Zeyang Ma, Dong Jae Kim, Tse-Hsun Chen
Log parsing is a critical step that transforms unstructured log data into structured formats, facilitating subsequent log-based analysis. Traditional syntax-based log parsers are e…
Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM Agents
Zehao Wang, Dong Jae Kim, Tse-Hsun Chen
Configuration settings are essential for tailoring software behavior to meet specific performance requirements. However, incorrect configurations are widespread, and identifying th…
SBEST: Spectrum-Based Fault Localization Without Fault-Triggering Tests
Md Nakhla Rafi, Lorena Barreto Simedo Pacheco, An Ran Chen +3
Fault localization is a critical step in software maintenance. Yet, many existing techniques, such as Spectrum-Based Fault Localization (SBFL), rely heavily on the availability of…
Towards Better Graph Neural Network-based Fault Localization Through Enhanced Code Representation
Md Nakhla Rafi, Dong Jae Kim, An Ran Chen +2
Automatic software fault localization plays an important role in software quality assurance by pinpointing faulty locations for easier debugging. Coverage-based fault localization,…
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing
Zeyang Ma, An Ran Chen, Dong Jae Kim +2
Logs are important in modern software development with runtime information. Log parsing is the first step in many log-based analyses, that involve extracting structured information…