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: Publication
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”
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”
SEER Lab at VISSOFT 2024 & SCAM 2024
Prof. Jeremy Bradbury and SEER Lab alum Kashif Hussain are in Flagstaff, AZ attending the 12th IEEE Working Conference on Software Visualization (VISSOFT 2024) and the 24th IEEE International Conference on Source Code Analysis and Manipulation (SCAM 2024). At VISSOFT, Kashif will be presenting their paper “PIE: A Tool for Visualizing the Lifecycle of DesignContinue reading “SEER Lab at VISSOFT 2024 & SCAM 2024”
VISSOFT 2024 Paper – “PIE: A Tool for Visualizing the Life Cycle of Design Patterns in Open Source Software Projects”
In October we’ll be presenting “PIE: A Tool for Visualizing the Life Cycle of Design Patterns in Open Source Software Projects” at the 12th IEEE Working Conference on Software Visualization (VISSOFT 2024). The paper is co-authored by Kashif J. Hussain, Christopher Collins and Jeremy Bradbury.
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.”
SIGCSE 2023 Poster – “Run, Llama, Run: A Computational Thinking Game for K-5 Students Designed to Support Equitable Access”
Computational thinking is now included in K-5 classrooms and this has led to a demand for new interactive and collaborative learning tools that engage a younger audience. Block-based programming and educational games have both been shown to be effective at engaging children, however they have limitations with respect to supporting collaborative learning and equitable access.Continue reading “SIGCSE 2023 Poster – “Run, Llama, Run: A Computational Thinking Game for K-5 Students Designed to Support Equitable Access””
SIGCSE 2023 Poster – “Adapting Between Parsons Problems and Coding Tasks”
Parsons problems are an effective scaffolding activity for coding. The development of Adaptive Parsons problems has provided more flexible scaffolding for students learning to code. However, there is still a gap between Parsons problems and coding tasks which can both challenge and frustrate learners. If you interested in learning more about Nadia Goralski‘s MSc thesis researchContinue reading “SIGCSE 2023 Poster – “Adapting Between Parsons Problems and Coding Tasks””
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.