Category Archives: AI

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’s 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), Mehrdad SaadatmandContinue reading “ICST 2024 Panel – “The Role of AI in Software Testing””

New Book Chapter – Engineering Adaptive Serious Games Using Machine Learning

The “Software Engineering for Games in Serious Contexts: Theories, Methods, Tools, and Experiences” book is now out! If you have the opportunity to read it there is a chapter co-authored by SEER Lab’s Michael Miljanovic and Jeremy Bradbury on “Engineering Adaptive Serious Games Using Machine Learning.”

ICSE 2020 SEET Paper – “GidgetML: An Adaptive Serious Game for Enhancing First Year Programming Labs”

The paper “GidgetML: An Adaptive Serious Game for Enhancing First Year Programming Labs” by SEER Lab’s Michael Miljanovic and Jeremy Bradbury has been accepted for publication in the Software Engineering Education and Training (SEET) track of the 42nd International Conference on Software Engineering (ICSE 2020).

ICSE 2020 NIER Paper – “Automatically Predicting Bug Severity Early in the Development Process”

SEER Lab’s Jude Arokiam and Jeremy Bradbury‘s paper “Automatically Predicting Bug Severity Early in the Development Process,” has been accepted for publication in the New Ideas and Emerging Results (NIER) track at the 42nd International Conference on Software Engineering (ICSE 2020). The paper uses the AutoBugTriager tool which is available as an open source project.

Safety, Testing and Self-Driving Cars

Any system where erroneous behaviour can lead to serious injury or a potential loss of life is classified as a safety critical system. This is true for self-driving or autonomous vehicles where a vehicle malfunction can lead to the injury or death of the driver, passengers or others outside the vehicle. The potential for injuryContinue reading “Safety, Testing and Self-Driving Cars”

Adaptive Serious Games for Computer Science Education

PhD student and SQR Lab member Michael Miljanovic was selected as a finalist in the  2017 Three Minute Thesis (3MT) competition at UOIT. Michael’s 3MT talk discussed his PhD research into the use of adaptive serious games to improve Computer Science education. The goal of his research is to adapt games to an individual player in an effort to improve learning andContinue reading “Adaptive Serious Games for Computer Science Education”