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2020

Code Completion using Neural Attention and Byte Pair Encoding

Arkesteijn, Youri, Saldanha, Nikhil, Kostense, Bastijn

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In this paper, we aim to do code completion based on implementing a Neural Network from Li et.

al..
Our contribution is that we use an encoding that is in-between character and word encoding called Byte Pair Encoding (BPE).
We use this on the source code files treating them as natural text without first going through the abstract syntax tree (AST).

Code Completion using Neural Attention and Byte Pair Encoding · Around

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Byte pair encoding: A text compression scheme that accelerates pattern matching
Original
Shibata, Y., Kida, T., Fukamachi, S., Takeda, M., Shinohara, A., Shinohara, T., and Arikawa, S. (1999) · 1999
Earlier work this paper cites.
Neural machine translation of rare words with subword units
Sennrich, R., Haddow, B., and Birch, A. (2016) · 2016
Earlier work this paper cites.

Similar

Code completion with neural attention and pointer networks
Original
Li, J., Wang, Y., Lyu, M. R., and King, I. (2017) · 2017
Cited alongside, same era.

Then

A survey of machine learning for big code and naturalness
Allamanis, M., Barr, E. T., Devanbu, P., and Sutton, C. (2018) · 2018
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