code2vec: Learning Distributed Representations of Code

present a neural model for representing snippets of code as continuous distributed vectors (``code embeddingsu0027u0027). The main idea is to represent a code snippet as a single fixed-length code vector, which can be used to predict semantic properties of the snippet. To this end, code is first decomposed to a collection of paths in its...More