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相关论文: Is GitHub's Copilot as Bad as Humans at Introducin…

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GitHub's Copilot for Pull Requests (PRs) is a promising service aiming to automate various developer tasks related to PRs, such as generating summaries of changes or providing complete walkthroughs with links to the relevant code. As this…

软件工程 · 计算机科学 2024-02-15 Tao Xiao , Hideaki Hata , Christoph Treude , Kenichi Matsumoto

Software engineers have historically relied on human-powered Q&A platforms like Stack Overflow (SO) as coding aids. With the rise of generative AI, developers have started to adopt AI chatbots, such as ChatGPT, in their software development…

人机交互 · 计算机科学 2025-02-24 Jiachen Li , Elizabeth Mynatt , Varun Mishra , Jonathan Bell

During Automated Program Repair (APR), it can be challenging to synthesize correct patches for real-world systems in general-purpose programming languages. Recent Large Language Models (LLMs) have been shown to be helpful "copilots" in…

软件工程 · 计算机科学 2023-11-10 Yuxiang Wei , Chunqiu Steven Xia , Lingming Zhang

Large language models (LLMs), such as ChatGPT and Copilot, are transforming software development by automating code generation and, arguably, enable rapid prototyping, support education, and boost productivity. Therefore, correctness and…

Despite the impressive performance of Large Language Models (LLMs) in software development activities, recent studies show the concern of introducing vulnerabilities into software codebase by AI programming assistants (e.g., Copilot,…

软件工程 · 计算机科学 2024-05-08 Sung Yong Kim , Zhiyu Fan , Yannic Noller , Abhik Roychoudhury

The rapid adoption of Large Language Models(LLMs) for code generation has transformed software development, yet little attention has been given to how security vulnerabilities evolve through iterative LLM feedback. This paper analyzes…

软件工程 · 计算机科学 2025-09-29 Shivani Shukla , Himanshu Joshi , Romilla Syed

The rapid integration of AI-powered coding assistants into developer workflows has raised significant privacy and trust concerns. As developers entrust proprietary code to services like OpenAI's GPT, Google's Gemini, and GitHub Copilot, the…

密码学与安全 · 计算机科学 2025-09-26 Amir AL-Maamari

Currently, large pre-trained language models are widely applied in neural code completion systems. Though large code models significantly outperform their smaller counterparts, around 70\% of displayed code completions from Github Copilot…

软件工程 · 计算机科学 2024-08-12 Zhensu Sun , Xiaoning Du , Fu Song , Shangwen Wang , Mingze Ni , Li Li , David Lo

This is the study that presents an AI-Python-based chatbot that helps students to learn programming by demonstrating solutions to such problems as debugging errors, solving syntax problems or converting abstract theoretical concepts to…

软件工程 · 计算机科学 2025-09-26 Sayed Mahbub Hasan Amiri , Md Mainul Islam

Security vulnerabilities present in a code that has been written in diverse programming languages are among the most critical yet complicated aspects of source code to detect. Static analysis tools based on rule-based patterns usually do…

密码学与安全 · 计算机科学 2025-08-19 Hael Abdulhakim Ali Humran , Ferdi Sonmez

Our everyday lives now heavily rely on artificial intelligence (AI) powered large language models (LLMs). Like regular users, programmers are also benefiting from the newest large language models. In response to the critical role that AI…

软件工程 · 计算机科学 2024-11-15 Md Kamrul Siam , Huanying Gu , Jerry Q. Cheng

With the increasing utilization of large language models such as ChatGPT during software development, it has become crucial to verify the quality of code content it generates. Recent studies proposed utilizing ChatGPT as both a developer…

软件工程 · 计算机科学 2024-12-02 Xiao Yu , Lei Liu , Xing Hu , Jacky Wai Keung , Jin Liu , Xin Xia

Evaluating in-the-wild coding capabilities of large language models (LLMs) is a challenging endeavor with no clear solution. We introduce Copilot Arena, a platform to collect user preferences for code generation through native integration…

AI-powered programming assistants are increasingly gaining popularity, with GitHub Copilot alone used by over a million developers worldwide. These tools are far from perfect, however, producing code suggestions that may be incorrect in…

人机交互 · 计算机科学 2024-02-26 Kasra Ferdowsi , Ruanqianqian Huang , Michael B. James , Nadia Polikarpova , Sorin Lerner

The field of big code relies on mining large corpora of code to perform some learning task. A significant threat to this approach has been recently identified by Lopes et al. (2017) who found a large amount of near-duplicate code on GitHub.…

软件工程 · 计算机科学 2019-08-13 Miltiadis Allamanis

Large language models (LLMs) for automatic code generation have achieved breakthroughs in several programming tasks. Their advances in competition-level programming problems have made them an essential pillar of AI-assisted pair…

密码学与安全 · 计算机科学 2023-10-24 Hossein Hajipour , Keno Hassler , Thorsten Holz , Lea Schönherr , Mario Fritz

As generative AI (GAI) tools become increasingly integrated into workplace environments, it is essential to measure their impact on productivity across specific domains. This study evaluates the effects of Microsoft's Security Copilot…

综合经济学 · 经济学 2024-11-13 James Bono , Alec Xu

The integration of Large Language Models (LLMs) such as GitHub Copilot, ChatGPT, Cursor AI, and Codeium AI into software development has revolutionized the coding landscape, offering significant productivity gains, automation, and enhanced…

GitHub is a popular data repository for code examples. It is being continuously used to train several AI-based tools to automatically generate code. However, the effectiveness of such tools in correctly demonstrating the usage of…

密码学与安全 · 计算机科学 2022-11-28 Catherine Tony , Nicolás E. Díaz Ferreyra , Riccardo Scandariato

Large Language Models (LLMs) such as ChatGPT and GitHub Copilot have revolutionized automated code generation in software engineering. However, as these models are increasingly utilized for software development, concerns have arisen…

密码学与安全 · 计算机科学 2024-12-03 Ahmad Mohsin , Helge Janicke , Adrian Wood , Iqbal H. Sarker , Leandros Maglaras , Naeem Janjua