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Recent advancements in large language models, including GPT-4 and its variants, and Generative AI-assisted coding tools like GitHub Copilot, ChatGPT, and Tabnine, have significantly transformed software development. This paper analyzes how…

软件工程 · 计算机科学 2024-11-05 Vijay Joshi , Iver Band

This study evaluates the performance of ChatGPT variants, GPT-3.5 and GPT-4, both with and without prompt engineering, against solely student work and a mixed category containing both student and GPT-4 contributions in university-level…

计算与语言 · 计算机科学 2024-10-08 Will Yeadon , Alex Peach , Craig P. Testrow

Since its launch in November 2022, ChatGPT has gained popularity among users, especially programmers who use it as a tool to solve development problems. However, while offering a practical solution to programming problems, ChatGPT should be…

Artificial intelligence (AI) tools based on large language models have acheived human-level performance on some computer programming tasks. We report several experiments using GPT-4 to generate computer code. These experiments demonstrate…

人工智能 · 计算机科学 2023-04-27 Russell A Poldrack , Thomas Lu , Gašper Beguš

Generative AI and large language models hold great promise in enhancing computing education by powering next-generation educational technologies for introductory programming. Recent works have studied these models for different scenarios…

Recently, generative AIs like ChatGPT have become available to the wide public. These tools can for instance be used by students to generate essays or whole theses. But how does a teacher know whether a text is written by a student or an…

计算与语言 · 计算机科学 2023-11-14 Lorenz Mindner , Tim Schlippe , Kristina Schaaff

The availability of generative Artificial Intelligence (AI) tools such as ChatGPT or GitHub Copilot is reshaping the way in which software is developed, evolved, and maintained. Oftentimes, developers leave traces of such an usage in…

Much is promised in relation to AI-supported software development. However, there has been limited evaluation effort in the research domain aimed at validating the true utility of such techniques, especially when compared to human coding…

软件工程 · 计算机科学 2025-01-29 Sherlock A. Licorish , Ansh Bajpai , Chetan Arora , Fanyu Wang , Kla Tantithamthavorn

AI-based code assistants are increasingly popular as a means to enhance productivity and improve code quality. This study compares four AI-based code assistants, GitHub Copilot, Tabnine, ChatGPT, and Google Bard, in method generation tasks,…

软件工程 · 计算机科学 2024-02-15 Vincenzo Corso , Leonardo Mariani , Daniela Micucci , Oliviero Riganelli

AI-based code assistants are promising tools that can facilitate and speed up code development. They exploit machine learning algorithms and natural language processing to interact with developers, suggesting code snippets (e.g., method…

软件工程 · 计算机科学 2024-02-15 Vincenzo Corso , Leonardo Mariani , Daniela Micucci , Oliviero Riganelli

With the increasing popularity of LLM-based code completers, like GitHub Copilot, the interest in automatically detecting AI-generated code is also increasing-in particular in contexts where the use of LLMs to program is forbidden by policy…

软件工程 · 计算机科学 2024-12-20 Andrea Gurioli , Maurizio Gabbrielli , Stefano Zacchiroli

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

Context: AI-assisted code generation tools have become increasingly prevalent in software engineering, offering the ability to generate code from natural language prompts or partial code inputs. Notable examples of these tools include…

软件工程 · 计算机科学 2023-10-24 Burak Yetiştiren , Işık Özsoy , Miray Ayerdem , Eray Tüzün

This paper presents a comprehensive evaluation of the code generation capabilities of ChatGPT, a prominent large language model, compared to human programmers. A novel dataset of 131 code-generation prompts across 5 categories was curated…

软件工程 · 计算机科学 2023-11-07 Muhammad Fawad Akbar Khan , Max Ramsdell , Erik Falor , Hamid Karimi

We systematically evaluated the performance of seven large language models in generating programming code using various prompt strategies, programming languages, and task difficulties. GPT-4 substantially outperforms other large language…

软件工程 · 计算机科学 2025-01-22 Wenpin Hou , Zhicheng Ji

As AI code assistants become increasingly integrated into software development workflows, understanding how their code compares to human-written programs is critical for ensuring reliability, maintainability, and security. In this paper, we…

软件工程 · 计算机科学 2025-09-01 Domenico Cotroneo , Cristina Improta , Pietro Liguori

Code generation tools driven by artificial intelligence have recently become more popular due to advancements in deep learning and natural language processing that have increased their capabilities. The proliferation of these tools may be a…

软件工程 · 计算机科学 2024-01-09 Owura Asare , Meiyappan Nagappan , N. Asokan

ChatGPT has enabled access to AI-generated writing for the masses, and within just a few months, this product has disrupted the knowledge economy, initiating a culture shift in the way people work, learn, and write. The need to discriminate…

机器学习 · 计算机科学 2023-03-30 Heather Desaire , Aleesa E. Chua , Madeline Isom , Romana Jarosova , David Hua

AI-powered code generation models have been developing rapidly, allowing developers to expedite code generation and thus improve their productivity. These models are trained on large corpora of code (primarily sourced from public…

In the first half of 2023, text-generative artificial intelligence (AI), including ChatGPT, equipped with GPT-3.5 and GPT-4, from OpenAI, has attracted considerable attention worldwide. In this study, first, we compared Japanese stylometric…

计算与语言 · 计算机科学 2023-06-06 Wataru Zaitsu , Mingzhe Jin
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