3 papers
cs.SE2025
Why do Machine Learning Notebooks Crash? An Empirical Study on Public Python Jupyter Notebooks
Yiran Wang, Willem Meijer, José Antonio Hernández López +2
Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasing…
cs.SE2025
SENAI: Towards Software Engineering Native Generative Artificial Intelligence
Mootez Saad, José Antonio Hernández López, Boqi Chen +3
Large Language Models have significantly advanced the field of code generation, demonstrating the ability to produce functionally correct code snippets. However, advancements in ge…
cs.SE2025
The Power of Types: Exploring the Impact of Type Checking on Neural Bug Detection in Dynamically Typed Languages
Boqi Chen, José Antonio Hernández López, Gunter Mussbacher +1
Motivation: Automated bug detection in dynamically typed languages such as Python is essential for maintaining code quality. The lack of mandatory type annotations in such language…