Overview
Syllabus
Introduction
How do stuff get in stable
What is a fix
Why Stable Trees
Stable Tags
Fix Differently
Reviewing Patches
Automating Patches
Unbalanced Talk
Neural Network
Problems with Neural Network
Not all fixes are stable
Commits to Stable
Conclusions
Explanation
Example
Wellknown Developers
Neural Networks
Training Data
How can we improve
Convolutional Neural Network
Image Processing
MaxPooling
Text
Natural Language
Representation
Dropping Stop Words
Code Structure
Results
Future work
Bug fixes
Non developers as maintainers
Propagation
Questions
Taught by
Linux Plumbers Conference