code2vec: Learning Distributed Representations of Code

Meital Zilberstein
Meital Zilberstein

symposium on principles of programming languages, 2019.

Cited by: 5|Bibtex|Views47|DOI:https://doi.org/10.1145/3290353
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

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

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