A Survey on Natural Language Processing for Programming

December 12, 2022 · The Cartographer · 🏛 International Conference on Language Resources and Evaluation

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"Title-pattern auto-detect: A Survey on Natural Language Processing for Programming"

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Authors Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che arXiv ID 2212.05773 Category cs.CL: Computation & Language Citations 5 Venue International Conference on Language Resources and Evaluation Last Checked 3 days ago

Abstract

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.