This week SEER Lab’s Prof. Jeremy Bradbury along with MSc students Mosarrat Rumman and Anushka Zaman are attending the 49th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2025). At the conference Mosarrat will be presenting their paper, “A Contrastive Learning Approach to Bug Severity Classification with Large Language Model Embeddings,” at the IEEE COMPSAC Symposium on Software Engineering Technologies & Applications (SETA). This paper is also co-authored by MSc student Emon Roy.
