activity
20242026
most citedApplying Large Language Models to Issue Classification: Revisiting with Extended Data and New Models

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2026

Prompt Structure Redistributes, Not Reduces: An Empirical Analysis of Security-Weaknesses in LLM-Generated Python Code

Maitreyee Das Urmi, Jessica Pourleyli, Fabio Santos +1

Large Language Models (LLMs) increasingly generate code from natural-language prompts, making prompt engineering a key mechanism for shaping the security of generated software. Str…

cs.SE2026

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…

cs.SE2026

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…

cs.SE2025★ 2 cited

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…

cs.SE2025

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…

cs.SE2024★ 1 cited

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…