RPT: Effective and Efficient Retrieval of Program Translations from Big Code

Binger Chen; Ziawasch Abedjan

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arXiv · 2103.12797

RPT: Effective and Efficient Retrieval of Program Translations from Big Code

Binger Chen·Ziawasch Abedjan

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Abstract

Program translation is a growing demand in software engineering. Manual program translation requires programming expertise in source and target language. One way to automate this process is to make use of the big data of programs, i.e., Big Code. In particular, one can search for program translations in Big Code. However, existing code retrieval techniques are not designed for cross-language code retrieval. Other data-driven approaches require human efforts in constructing cross-language parallel datasets to train translation models. In this paper, we present RPT, a novel code translation retrieval system. We propose a lightweight but informative program representation, which can be generalized to all imperative PLs. Furthermore, we present our index structure and hierarchical filtering mechanism for efficient code retrieval from a Big Code database.

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Binger Chen, Ziawasch Abedjan. 2021-03-23. RPT: Effective and Efficient Retrieval of Program Translations from Big Code. https://arxiv.org/abs/2103.12797

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