Yiran Wang and Jakob Hoffmann and Jürgen Cito and Dániel Varró. 2026.
Beyond Crash Resolution: Evaluating LLM Agents for Repairing Machine Learning Notebooks.
Submitted.
Yiran Wang and José Antonio Hernández López and Ulf Nilsson and Dániel Varró. 2026.
CRANE-LLM: Runtime-Augmented LLMs for Crash Prediction and Diagnosis in ML Notebooks.
Submitted.
[doi: 10.48550/arXiv.2602.18537]
Yiran Wang and José Antonio Hernández López and Ulf Nilsson and Dániel Varró. 2026.
JunoBench: A Benchmark Dataset of Crashes in Python Machine Learning Jupyter Notebooks.
Proceedings of the 3rd ACM International Conference on AI-Powered Software (AIware '26),
July 6-7, 2026, Montreal, QC, Canada.
[doi: 10.1145/3805760.3814934]
Yiran Wang and Willem Meijer and José Antonio Hernández López and Ulf Nilsson and Dániel Varró. 2025.
Why do Machine Learning Notebooks Crash? An Empirical Study on Public Python Jupyter Notebooks.
in IEEE Transactions on Software Engineering.
[doi: 10.1109/TSE.2025.3574500]
Yiran Wang and José Antonio Hernández López and Ulf Nilsson and Dániel Varró. 2024.
Using Run-time Information to Enhance Static Analysis of Machine Learning Code in Notebooks.
In Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering (FSE'24),
July 15-19, 2024, Ipojuca (Pernambuco), Brazil.
[doi: 10.1145/3663529.3663785]
Yiran Wang. 2023.
Early Detection of Defects in Machine Learning Programs by Semi-Static Analysis.
The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023) - Doctoral Forum,
11 - 15 September 2023, Kirchberg, Luxembourg.
[doi: 10.5281/zenodo.20793551]