Biblioteca

Unveiling the Potential of a Conversational Agent in Developer Support: Insights from Mozilla’s PDF.js Project

This paper presents an investigation into whether AI can be leveraged to assist developers and guide open source community members. It introduces DevMentorAI, an LLM-based tool that uses a RAG approach to answer developer questions, which is then evaluated with a case study on Mozilla's PDF.js proje

Mind the Gap: What Working With Developers on Fuzz Tests Taught Us About Coverage Gaps

Predicting the Impact of Crashes Across Release Channels

SZZ in the time of pull requests

Works for me! cannot reproduce–a large scale empirical study of non-reproducible bugs

rust-code-analysis: A Rust library to analyze and extract maintainability information from source codes

Why Are Some Bugs Non-Reproducible? An Empirical Investigation using Data Fusion

An Empirical Study of DLL Injection Bugs in the Firefox Ecosystem

An Empirical Study of Patch Uplift in Rapid Release Development Pipelines

Understanding Flaky Tests: The Developer’s Perspective