Using machine translation for converting Python 2 to Python 3 code

Author:

Aggarwal Karan1,Salameh Mohammad1,Hindle Abram1

Affiliation:

1. Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada

Abstract

In this paper, we have tried to use statistical machine translation in order to convert Python 2 code to Python 3 code. We use data from two projects and achieve a high BLEU score. We also investigate the cross-project training and testing to analyze the errors so as to ascertain differences with previous case. We have described a pilot study on modeling programming languages as natural language to build translation models on the lines of natural languages. This can be further worked on to translate between versions of a programming language or cross-programming-languages code translation.

Publisher

PeerJ

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mutation analysis for evaluating code translation;Empirical Software Engineering;2023-12-06

2. Analyzing syntactic constructs of Java programs with machine learning;Expert Systems with Applications;2023-04

3. SPLENDID: Supporting Parallel LLVM-IR Enhanced Natural Decompilation for Interactive Development;Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3;2023-03-25

4. Code Generation by Example Using Symbolic Machine Learning;SN Computer Science;2023-01-17

5. An investigation into the effect of cluster-based preprocessing on software migration;Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings;2022-10-23

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