SEER Lab Students Present at 2026 MAIRI Symposium

Congratulations to Mosarrat Rumman, Bridget Green and Daniel Hinbest on presenting posters at today’s Mindful AI Research Institute (MAIRI) Symposium 2026.

SEER Lab at CASCON 2025!

Prof. Jeremy Bradbury, Bisha Fatima, Bridget Green and Daniel Hinbest are all in Toronto, ON this week attending the 35th IEEE International Conference on Collaborative Advances in Software and Computing (CASCON 2025). Prof. Bradbury also served as the CASCON 2025 technical program co-chair with Prof. Eleni Stroulia. This year a record 170 submissions were reviewedContinue reading “SEER Lab at CASCON 2025!”

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 Presentation at the 2025 Digital Innovation Education Conference

Last Friday, Stacey Koornneef presented at the 2025 Digital Innovation in Education Conference on “Lessons Learned: How to Design & Evaluate Cost-Accessible Coding Games for Children.”

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”

SEER Lab at SANER 2025!

MSc student Riddhi More and Prof. Jeremy Bradbury are in Montreal, PQ this week attending the IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2025) and the 1st International Workshop on Fairness in Software Systems (FAIRNESS 2025). Riddhi will also be presenting their paper “Assessing Data Augmentation-Induced Bias in Training and Testing ofContinue reading “SEER Lab at SANER 2025!”

Testing Education Research Presented at SIGCSE 2025

Today Prof. Michael Miljanovic presented the latest SEER Lab paper at the SIGCSE Technical Symposium on Computer Science Education (SIGCSE 2025). The paper titled “How Effective and Efficient Are Student-Written Software Tests?”, is co-authored by Amanda Showler, Michael Miljanovic, and Jeremy Bradbury. This paper aims to better understand gaps in students’ testing skills and knowledge.Continue reading “Testing Education Research Presented at SIGCSE 2025”