Deep learning enhanced code completion system

A code completion tool uses a deep learning model to predict the likelihood of a method completing a method invocation. In one aspect, the deep learning model is a LSTM trained on features that represent the syntactic context of a method invocation derived from an abstract tree representation of the...

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Bibliographic Details
Main Authors Svyatkovskiy, Alexey, Zhao, Ying, Sundaresan, Neelakantan, Fu, Shengyu
Format Patent
LanguageEnglish
Published 20.04.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:A code completion tool uses a deep learning model to predict the likelihood of a method completing a method invocation. In one aspect, the deep learning model is a LSTM trained on features that represent the syntactic context of a method invocation derived from an abstract tree representation of the code fragment.
Bibliography:Application Number: US201916377789