code2vec: Learning Distributed Representations of Code

26 Mar 2018 Uri Alon Meital Zilberstein Omer Levy Eran Yahav

We present a neural model for representing snippets of code as continuous distributed vectors ("code embeddings"). The main idea is to represent a code snippet as a single fixed-length $\textit{code vector}$, which can be used to predict semantic properties of the snippet... (read more)

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