Building Stable Kernel Trees with Machine Learning
Explore the application of machine learning in building stable kernel trees in this Linux Plumbers Conference talk. Delve into the process of identifying and reviewing fixes, automating patch selection, and the challenges of using neural networks for this task. Learn about the different approaches to stable tree maintenance, including the use of stable tags and the importance of understanding what constitutes a fix. Discover how convolutional neural networks, typically used in image processing, are adapted for code structure analysis. Gain insights into the current results, future work possibilities, and the potential for involving non-developers in kernel maintenance. Engage with the speakers' explanations, examples, and their vision for improving the stable kernel development process through innovative machine learning techniques.