Building Stable Kernel Trees with Machine Learning

Building Stable Kernel Trees with Machine Learning

Linux Plumbers Conference via YouTube Direct link

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29 of 34

29 of 34

Results

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Building Stable Kernel Trees with Machine Learning

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  1. 1 Introduction
  2. 2 How do stuff get in stable
  3. 3 What is a fix
  4. 4 Why Stable Trees
  5. 5 Stable Tags
  6. 6 Fix Differently
  7. 7 Reviewing Patches
  8. 8 Automating Patches
  9. 9 Unbalanced Talk
  10. 10 Neural Network
  11. 11 Problems with Neural Network
  12. 12 Not all fixes are stable
  13. 13 Commits to Stable
  14. 14 Conclusions
  15. 15 Explanation
  16. 16 Example
  17. 17 Wellknown Developers
  18. 18 Neural Networks
  19. 19 Training Data
  20. 20 How can we improve
  21. 21 Convolutional Neural Network
  22. 22 Image Processing
  23. 23 MaxPooling
  24. 24 Text
  25. 25 Natural Language
  26. 26 Representation
  27. 27 Dropping Stop Words
  28. 28 Code Structure
  29. 29 Results
  30. 30 Future work
  31. 31 Bug fixes
  32. 32 Non developers as maintainers
  33. 33 Propagation
  34. 34 Questions

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