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A Survey on Natural Language Processing for Programming

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arxiv 2212.05773 v2 pith:7CUJT74A submitted 2022-12-12 cs.CL

Qingfu Zhu , Xianzhen Luo , Fang Liu , Cuiyun Gao , Wanxiang Che This is my paper
classification cs.CL
keywords languageprogrammingnaturalfunctionality-orientedprocessingstructure-basedtechniquesaiming
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Natural language processing for programming aims to use NLP techniques to assist programming. It is increasingly prevalent for its effectiveness in improving productivity. Distinct from natural language, a programming language is highly structured and functional. Constructing a structure-based representation and a functionality-oriented algorithm is at the heart of program understanding and generation. In this paper, we conduct a systematic review covering tasks, datasets, evaluation methods, techniques, and models from the perspective of the structure-based and functionality-oriented property, aiming to understand the role of the two properties in each component. Based on the analysis, we illustrate unexplored areas and suggest potential directions for future work.

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