7 citations · 22 across the 25 of their papers we have counts for
5 papers · 1 filter
Toxicity Ahead: Forecasting Conversational Derailment on GitHub
Mia Mohammad Imran, Robert Zita, Rahat Rizvi Rahman +2
Toxic interactions in Open Source Software (OSS) communities reduce contributor engagement and threaten project sustainability. Preventing such toxicity before it emerges requires…
How Safe Are AI-Generated Patches? A Large-scale Study on Security Risks in LLM and Agentic Automated Program Repair on SWE-bench
Amirali Sajadi, Kostadin Damevski, Preetha Chatterjee
Large language models (LLMs) and their agentic frameworks are increasingly adopted to perform development tasks such as automated program repair (APR). While prior work has identif…
Psycholinguistic Analyses in Software Engineering Text: A Systematic Literature Review
Amirali Sajadi, Kostadin Damevski, Preetha Chatterjee
Context: A deeper understanding of human factors in software engineering (SE) is essential for improving team collaboration, decision-making, and productivity. Communication channe…
Do LLMs Consider Security? An Empirical Study on Responses to Programming Questions
Amirali Sajadi, Binh Le, Anh Nguyen +2
The widespread adoption of conversational LLMs for software development has raised new security concerns regarding the safety of LLM-generated content. Our motivational study outli…
Understanding and Predicting Derailment in Toxic Conversations on GitHub
Mia Mohammad Imran, Robert Zita, Rebekah Copeland +3
Software projects thrive on the involvement and contributions of individuals from different backgrounds. However, toxic language and negative interactions can hinder the participat…