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.