SEER Lab’s Jeremy Bradbury & Riddhi More are in Naples, Italy 🇮🇹 attending the 18th IEEE Int’l Conference on Software Testing, Verification and Validation (#ICST2025) where they are presenting two research papers. Dr. Bradbury is also a member of the faculty panel at the ICST Doctoral Symposium.

Looking for evidence of data leakage in the #HumanEval code generation #LLM benchmark? Check out our analysis of a subset of HumanEval tasks vs comparable tasks on #ChatGPT, #Claude and #Llama. @riddhimore.bsky.social

Yesterday Riddhi More presented our paper “Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models” at the 1st Int’l Workshop on Fairness in Software Systems (#FAIRNESS2025) in Montreal, Canada. 🇨🇦 Paper preprint, slides & code/data available at: bit.ly/4brEBJm

I’m excited to share that our paper "An Analysis of #LLM Fine-Tuning & Few-Shot Learning for Flaky Test Detection & Classification" has been accepted for publication at the Int’l Conf on Software Testing, Verification & Validation (#ICST2025). This paper is first-authored by @riddhimore.bsky.social

I'm happy to share our paper "Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models," has been accepted to the 1st International Workshop on Fairness in Software Systems (FAIRNESS 2025), co-located with #SANER2025! #ontariotech @riddhimore.bsky.social