14 citations · 14 across the 1 of their papers we have counts for
4 papers · 1 filter
A Systematic Literature Review of Software Engineering Research on Jupyter Notebook
Md Saeed Siddik, Hao Li, Cor-Paul Bezemer
Context: Jupyter Notebook has emerged as a versatile tool that transforms how researchers, developers, and data scientists conduct and communicate their work. As the adoption of Ju…
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…
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…