Empirical Study on the Characteristics and Evolution of AI-usage in GitHub Repositories: Evidence from Code Comments Paper • 2606.06843 • Published Jun 5 • 1
LLM-Enabled Open-Source Systems in the Wild: An Empirical Study of Vulnerabilities in GitHub Security Advisories Paper • 2604.04288 • Published Apr 15 • 1
Improving Code Comprehension through Cognitive-Load Aware Automated Refactoring for Novice Programmers Paper • 2603.16791 • Published Apr 16 • 2
"TODO: Fix the Mess Gemini Created": Towards Understanding GenAI-Induced Self-Admitted Technical Debt Paper • 2601.07786 • Published Jan 12 • 3
Learning Programming in Informal Spaces: Using Emotion as a Lens to Understand Novice Struggles on r/learnprogramming Paper • 2511.22789 • Published Nov 27, 2025 • 2
Toxicity Ahead: Forecasting Conversational Derailment on GitHub Paper • 2512.15031 • Published Dec 17, 2025 • 2
LLPut: Investigating Large Language Models for Bug Report-Based Input Generation Paper • 2503.20578 • Published Mar 26, 2025 • 6
"Silent Is Not Actually Silent": An Investigation of Toxicity on Bug Report Discussion Paper • 2503.10072 • Published Mar 13, 2025 • 4
Understanding and Predicting Derailment in Toxic Conversations on GitHub Paper • 2503.02191 • Published Mar 4, 2025 • 4
Shedding Light on Software Engineering-specific Metaphors and Idioms Paper • 2312.10297 • Published Dec 16, 2023 • 2