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”
Category Archives: AI
SEER Lab Director Gives Keynote on Serious Games and AI
Last Friday, SEER Lab Director Jeremy Bradbury was the keynote speaker at the Foundations of Applied Software Engineering for Games Workshop (FaSE4Games’25) co-located with the ACM International Conference on the Foundations of Software Engineering (FSE’2025). His talk was titled “Personalizing Software Engineering Serious Games with AI” and covered development challenges including:
SEER Lab BSc (Hons.) Students Successfully Present Theses
Congratulations to Ashar Izhar, Daniel Hinbest, Dev Thaker, and Mirisan Ravindran who all successfully presented their Computer Science honours theses last Thursday! 🎓 A further congratulations to Ashar who’s thesis was nominated for the Ontario Tech Computer Science Outstanding Thesis Award.
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”
New Collaboration with Universidade Nova de Lisboa
SEER Lab’s Jeremy Bradbury is starting a new collaboration with João Lourenço and Andre Wemans from the Universidade Nova de Lisboa on using AI to support automatic heuristic-based testing of concurrent software. 🇨🇦 🇵🇹
Lab Members Attend the 8th Annual Toronto Machine Learning Summit
SEER Lab’s Jeremy Bradbury and Riddhi More were downtown Toronto this week attending the 8th Annual Toronto Machine Learning Summit. The event included many attendees from machine learning start ups as well as established companies doing AI. As researchers, attending industry-focused events like TMLS is always exciting because there is an opportunity to learn aboutContinue reading “Lab Members Attend the 8th Annual Toronto Machine Learning Summit”
Successful CSER 2024 Spring Meeting
SEER Lab’s Jeremy Bradbury, Stacey Koornneef and Riddhi More were in Kingston, ON at Queen’s University on June 10th & 11th for the Consortium for Software Engineering Research (CSER) 2024 Spring Meeting. In total 140 participants attending the CSER 2024 Spring Meeting from universities and industry across Canada. 🇨🇦
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””
SEER Lab at ICST 2024
This week Prof. Jeremy Bradbury and Riddhi More attended the 17th IEEE International Conference on Software Testing, Verification and Validation (ICST 2024) in Toronto, Canada. Prof. Bradbury was a member of the conference organizing committee (Sponsorship Co-Chair) and a panelist on the fishbowl panel discussing “The Role of AI in Software Testing.”