1 citations · 2 across the 6 of their papers we have counts for
8 papers · 1 filter
A Low-Cost Human-in-the-Loop Investigation of Toxicity on GitHub at Scale
Rahat Rizvi Rahman, Mia Mohammad Imran, Kostadin Damevski
Toxic interactions in open source discussions can alienate contributors and threaten project sustainability, yet prior empirical studies of GitHub toxicity have been limited in sca…
Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub
Ramtin Ehsani, Sakshi Pathak, Shriya Rawal +3
AI coding agents are now submitting pull requests (PRs) to software projects, acting not just as assistants but as autonomous contributors. As these agentic contributions are rapid…
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…
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…
Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads
Ramtin Ehsani, Mia Mohammad Imran, Robert Zita +2
In the dynamic landscape of open source software (OSS) development, understanding and addressing incivility within issue discussions is crucial for fostering healthy and productive…
Emotion Classification In Software Engineering Texts: A Comparative Analysis of Pre-trained Transformers Language Models
Mia Mohammad Imran
Emotion recognition in software engineering texts is critical for understanding developer expressions and improving collaboration. This paper presents a comparative analysis of sta…