What We Do
Improving software engineers’ tools and environments through empirical data analysis, natural language processing and machine learning
At , a software engineering research group in the College of Computing & Informatics at 91制片厂, researchers focus on improving software engineers’ tools and environments through empirical data analysis, natural language processing and machine learning.
Research Faculty & PhD Students
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Recent Publications
- Imran, Mia Mohammad & Chatterjee, Preetha & Damevski, Kostadin. (2024). “Uncovering the Causes of Emotions in Software Developer Communication Using Zero-shot LLMs.” In Proceedings of the 46th International Conference onSoftware Engineering (ICSE 2024). 10.13140/RG.2.2.13040.43524.
- Ehsani, Ramtin & Imran, Mia Mohammad & Zita, Robert & Damevski, Kostadin & Chatterjee, Preetha. (2024). “Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads.” In Proceedings of the 21st International Conference on Mining Software Repositories (MSR 2024).
- Imran, Mia Mohammad & Chatterjee, Preetha & Damevski, Kostadin. (2024). “Shedding Light on Software Engineering-specific Metaphors and Idioms.” In the 46th International Conference on Software Engineering (ICSE), Research Track, 2024.
- Mishra, Shyamal & Chatterjee, Preetha. (2024). “Exploring ChatGPT for Toxicity Detection in GitHub.” In the 46th International Conference on Software Engineering (ICSE), New Ideas and Emerging Results Track, 2024. 10.13140/RG.2.2.21945.13920.
View a complete list of publications on .