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![]() Title:code2vec: Learning Distributed Representations of Code Authors:Eran Yahav Conference:MLP 2018 Tags:code2vec, machine learning and program analysis Abstract: We present a neural model for representing snippets of code as continuous distributed vectors. The main idea is to represent code as a collection of paths in its abstract syntax tree, and aggregate these paths, in a smart and scalable way, into a single fixed-length code vector, which can be used to predict semantic properties of the snippet. code2vec: Learning Distributed Representations of Code ![]() code2vec: Learning Distributed Representations of Code | ||||
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