SnR

Dong, Yiwen; Gu, Tianxiao; Tian, Yongqiang; Sun, Chengnian

doi:10.1145/3510003.3510061

Cited by 8 publications

(1 citation statement)

References 30 publications

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“…Code completion, also known as autocompletion, is a software development feature that suggests possible code completions as a programmer types [ 82 ]. Its goal is to save time and reduce errors by providing suggestions for method names, variable names, and even entire code snippets [ 83 ].…”

Section: Ai-assisted Programming Tasksmentioning

confidence: 99%

Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review

Wong

Guo

Hang

et al. 2023

Entropy

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This paper provides a comprehensive review of the literature concerning the utilization of Natural Language Processing (NLP) techniques, with a particular focus on transformer-based large language models (LLMs) trained using Big Code, within the domain of AI-assisted programming tasks. LLMs, augmented with software naturalness, have played a crucial role in facilitating AI-assisted programming applications, including code generation, code completion, code translation, code refinement, code summarization, defect detection, and clone detection. Notable examples of such applications include the GitHub Copilot powered by OpenAI’s Codex and DeepMind AlphaCode. This paper presents an overview of the major LLMs and their applications in downstream tasks related to AI-assisted programming. Furthermore, it explores the challenges and opportunities associated with incorporating NLP techniques with software naturalness in these applications, with a discussion on extending AI-assisted programming capabilities to Apple’s Xcode for mobile software development. This paper also presents the challenges of and opportunities for incorporating NLP techniques with software naturalness, empowering developers with advanced coding assistance and streamlining the software development process.

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Section: Ai-assisted Programming Tasksmentioning

confidence: 99%