Unsupervised Learning of General-Purpose Embeddings for Code Changes

Mikhail Pravilov, Egor Bogomolov, Yaroslav Golubev +1

Applying machine learning to tasks that operate with code changes requires their numerical representation. In this work, we propose an approach for obtaining such representations d…