Syntax-aware on-the-fly code completion

Author:

Takerngsaksiri Wannita,Tantithamthavorn Chakkrit,Li Yuan-Fang

Funder

Australian Research Council

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference46 articles.

1. IntelliSense in visual studio code;Code,2022

2. ML-enhanced code completion improves developer productivity;Maxim Tabachnyk,2022

3. CodeXGLUE: A machine learning benchmark dataset for code understanding and generation;Lu,2021

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5. A. Svyatkovskiy, S.K. Deng, S. Fu, N. Sundaresan, Intellicode compose: Code generation using transformer, in: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020, pp. 1433–1443.

Cited by 2 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. Large language models for code completion: A systematic literature review;Computer Standards & Interfaces;2025-03

2. On the Reliability and Explainability of Language Models for Program Generation;ACM Transactions on Software Engineering and Methodology;2024-06-03

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