10 citations · 13 across the 8 of their papers we have counts for
5 papers · 1 filter
Order Matters! An Empirical Study on Large Language Models' Input Order Bias in Software Fault Localization
Md Nakhla Rafi, Dong Jae Kim, Tse-Hsun Chen +1
Large Language Models (LLMs) show great promise in software engineering tasks like Fault Localization (FL) and Automatic Program Repair (APR). This study investigates the impact of…
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…
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…
SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents
Feng Lin, Dong Jae Kim, Tse-Husn +1
Software process models are essential to facilitate collaboration and communication among software teams to solve complex development tasks. Inspired by these software engineering…