2 papers
cs.SE2026
The Hidden Environmental Cost of Poor Coding Practices in TensorFlow and Keras Applications: A Study on Resource Leaks and Carbon Emissions
Bashar Abdallah, Gustavo Santos, Rola Al Bataineh +2
Efficiency and sustainability are critical considerations in the development and deployment of machine learning (ML) applications. Among the factors influencing sustainability, res…
cs.SE2025
From Code Smells to Best Practices: Tackling Resource Leaks in PyTorch, TensorFlow, and Keras
Bashar Abdallah, Martyna E. Wojciechowska, Gustavo Santos +4
Much of the existing ML research focuses on model performance metrics, leaving limited attention to the long-term sustainability and resource efficiency of ML applications. While h…