1 citations · 1 across the 4 of their papers we have counts for
6 papers
What's Inside a GitHub Repository? An Empirical Study on the Contents of 10K Projects
Andre Hora, João Eduardo Montandon, Diego Elias Costa
GitHub is the largest code hosting platform, with millions of repositories spanning multiple technologies. Despite this, little is known about the actual contents of GitHub's repos…
Configuration Smells in AGENTS.md Files: Common Mistakes in Configuring Coding Agents
Helio Victor F. dos Santos, Vitor Costa, Joao Eduardo Montandon +2
Coding agents are increasingly used to automate software engineering tasks. To guide their behavior, these agents commonly rely on configuration files, typically named AGENTS. md o…
Beyond Strict Rules: Assessing the Effectiveness of Large Language Models for Code Smell Detection
Saymon Souza, Amanda Santana, Eduardo Figueiredo +3
Code smells are symptoms of potential code quality problems that may affect software maintainability, thus increasing development costs and impacting software reliability. Large la…
Decoding the Configuration of AI Coding Agents: Insights from Claude Code Projects
Helio Victor F. Santos, Vitor Costa, Joao Eduardo Montandon +1
Agentic code assistants are a new generation of AI systems capable of performing end-to-end software engineering tasks. While these systems promise unprecedented productivity gains…
Testing Framework Migration with Large Language Models
Altino Alves, João Eduardo Montandon, Andre Hora
Python developers rely on two major testing frameworks: \texttt{unittest} and \texttt{Pytest}. While \texttt{Pytest} offers simpler assertions, reusable fixtures, and better intero…
Unboxing Default Argument Breaking Changes in 1 + 2 Data Science Libraries
João Eduardo Montandon, Luciana Lourdes Silva, Cristiano Politowski +3
Data Science (DS) has become a cornerstone for modern software, enabling data-driven decisions to improve companies services. Following modern software development practices, data…