91 citations · 211 across the 29 of their papers we have counts for
5 papers · 1 filter
Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation Models
Hao Li, Cor-Paul Bezemer, Ahmed E. Hassan
Foundation models (FMs) such as large language models (LLMs) have significantly impacted many fields, including software engineering (SE). The interaction between SE and FMs has le…
Early Detection of Performance Regressions by Bridging Local Performance Data and Architectural Models
Lizhi Liao, Simon Eismann, Heng Li +4
During software development, developers often make numerous modifications to the software to address existing issues or implement new features. However, certain changes may inadver…
VideoGameBunny: Towards vision assistants for video games
Mohammad Reza Taesiri, Cor-Paul Bezemer
Large multimodal models (LMMs) hold substantial promise across various domains, from personal assistance in daily tasks to sophisticated applications like medical diagnostics. Howe…
Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality
Hao Li, Gopi Krishnan Rajbahadur, Cor-Paul Bezemer
Bindings for machine learning frameworks (such as TensorFlow and PyTorch) allow developers to integrate a framework's functionality using a programming language different from the…
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting
Hao Li, Gopi Krishnan Rajbahadur, Dayi Lin +3
In software engineering, deep learning models are increasingly deployed for critical tasks such as bug detection and code review. However, overfitting remains a challenge that affe…