Congratulations to SEER Lab’s Riddhi More who successfully defended her MSc thesis today. Riddhi’s thesis is titled “Addressing Data Challenges in LLM-Enhanced Software Engineering” and was supervised by Dr. Jeremy Bradbury.
Tag Archives: LLM
Bug Severity Classification Research Published at COMPSAC-SETA 2025
Today at the IEEE COMPSAC Symposium on Software Engineering Technologies & Applications (COMPSAC-SETA 2025) Mosarrat Rumman presented “A Contrastive Learning Approach to Bug Severity Classification with Large Language Model Embeddings” (co-authors Anushka Zaman, Emon Roy, Jeremy Bradbury). This research shows that contrastive fine-tuning for LLMs can improve semantic separation and boost generalization on imbalanced, diverseContinue reading “Bug Severity Classification Research Published at COMPSAC-SETA 2025”
SEER Lab at COMPSAC 2025!
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 IEEEContinue reading “SEER Lab at COMPSAC 2025!”
SEER Lab at ICST 2025!
SEER Lab’s Prof. Jeremy Bradbury and Riddhi More are at the 18th IEEE International Conference on Software Testing, Verification and Validation (ICST 2025) this week in Naples, Italy. Riddhi will be presented their paper “An Analysis of LLM Fine-Tuning and Few-Shot Learning for Flaky Test Detection and Classification” and Prof. Jeremy Bradbury will be presentingContinue reading “SEER Lab at ICST 2025!”
Data Augmentation Bias Research Published at FAIRNESS 2025
MSc student Riddhi More presented the latest lab research paper, “Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models,” (co-authored with Prof. Jeremy Bradbury at the 1st International Workshop on Fairness in Software Systems (FAIRNESS 2025). Data augmentation has become a standard practice in software engineering to address limited or imbalanced dataContinue reading “Data Augmentation Bias Research Published at FAIRNESS 2025”
ICST 2024 Panel – “The Role of AI in Software Testing”
SEER Lab Prof. Jeremy Bradbury participated as a panelist in this afternoon’s Fishbowl Panel on “The Role of AI in Software Testing” at the 17th IEEE International Conference on Software Testing, Verification and Validation (ICST 2024). The panel was chair by Gregory Gay (University of Gothenburg) and include panelists Joana Coutinho/Alexandre Lemos (OutSystems, Portugal), MehrdadContinue reading “ICST 2024 Panel – “The Role of AI in Software Testing””