Imagine a git blame
for performance. That is exactly what this project
is about - identifying commits that are interesting from a performance
point-of-view.
In this project, we aim to research for techniques to classify performance changes across commits - find a correlation between the number of line additions/subtractions and the performance change, identify whether a new feature is really an optimization and so on.