2 citations · 2 across the 5 of their papers we have counts for
5 papers · 1 filter
Rethinking Automated Program Repair: The Impact of Bug Complexity, Fault Localization, and LLM Cost-efficiency
Junchi Liu, Ali Bigdeli, Roya Daneshi +3
Background: Software bugs remain a critical challenge in development, necessitating effective Automated Program Repair (APR) techniques. While Large Language Model (LLM)-based APR…
Does Fixing Break Security? An Empirical Study of Security Degradation in Iterative LLM-Driven Infrastructure-as-Code Repair
Benjamin Agyekum, Fabio Santos
Background: Iterative feedback loops are the dominant paradigm for improving LLM-generated Infrastructure-as-Code (IaC): validators such as Checkov and terraform validate feed erro…
Applying Large Language Models to Issue Classification: Revisiting with Extended Data and New Models
Gabriel Aracena, Kyle Luster, Fabio Santos +2
Effective prioritization of issue reports in software engineering helps to optimize resource allocation and information recovery. However, manual issue classification is laborious…
SkillScope: A Tool to Predict Fine-Grained Skills Needed to Solve Issues on GitHub
Benjamin C. Carter, Jonathan Rivas Contreras, Carlos A. Llanes Villegas +9
New contributors often struggle to find tasks that they can tackle when onboarding onto a new Open Source Software (OSS) project. One reason for this difficulty is that issue track…
Applying Large Language Models API to Issue Classification Problem
Gabriel Aracena, Kyle Luster, Fabio Santos +2
Effective prioritization of issue reports is crucial in software engineering to optimize resource allocation and address critical problems promptly. However, the manual classificat…