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With the increasing adoption of AI-driven tools in software development, large language models (LLMs) have become essential for tasks like code generation, bug fixing, and optimization. Tools like ChatGPT, GitHub Copilot, and Codeium…

AI assistants can help developers by recommending code to be included in their implementations (e.g., suggesting the implementation of a method from its signature). Although useful, these recommendations may mirror copyleft code available…

软件工程 · 计算机科学 2025-02-10 Gaia Colombo , Leonardo Mariani , Daniela Micucci , Oliviero Riganelli

The majority of software developers use or are planning to use Artificial Intelligence (AI) tools in their development processes. Their top reasons include improving productivity and faster learning. In fact, Large Language Model…

软件工程 · 计算机科学 2026-05-25 Srivathsan G Morkonda , Mahmoud Selim , Hala Assal

Large Language Models (LLMs) have become powerful tools for automated code generation. However, these models often overlook critical security practices, which can result in the generation of insecure code that contains…

软件工程 · 计算机科学 2025-07-01 Hao Yan , Swapneel Suhas Vaidya , Xiaokuan Zhang , Ziyu Yao

The rapid advancement of Large Language Models (LLMs) has enhanced software development processes, minimizing the time and effort required for coding and enhancing developer productivity. However, despite their potential benefits, code…

密码学与安全 · 计算机科学 2025-04-30 Swaroop Dora , Deven Lunkad , Naziya Aslam , S. Venkatesan , Sandeep Kumar Shukla

GitHub Copilot is an AI-enabled tool that automates program synthesis. It has gained significant attention since its launch in 2021. Recent studies have extensively examined Copilot's capabilities in various programming tasks, as well as…

Large language models (LLMs) have brought significant advancements to code generation and code repair, benefiting both novice and experienced developers. However, their training using unsanitized data from open-source repositories, like…

软件工程 · 计算机科学 2024-07-08 Jiexin Wang , Xitong Luo , Liuwen Cao , Hongkui He , Hailin Huang , Jiayuan Xie , Adam Jatowt , Yi Cai

LLM models are increasingly used to generate code, but the quality and security of this code are often uncertain. Several recent studies have raised alarm bells, indicating that such AI-generated code may be particularly vulnerable to…

密码学与安全 · 计算机科学 2025-12-05 Kobra Khanmohammadi , Pooria Roy , Raphael Khoury , Abdelwahab Hamou-Lhadj , Wilfried Patrick Konan

AI programming assistants have demonstrated a tendency to generate code containing basic security vulnerabilities. While developers are ultimately responsible for validating and reviewing such outputs, improving the inherent quality of…

密码学与安全 · 计算机科学 2025-11-14 Catherine Xia , Manar H. Alalfi

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

While several studies have examined the security of code generated by GPT and other Large Language Models (LLMs), most have relied on controlled experiments rather than real developer interactions. This paper investigates the security of…

软件工程 · 计算机科学 2026-02-19 Vladislav Belozerov , Peter J Barclay , Ashkan Sami

AI-powered coding assistants, like GitHub Copilot, are increasingly used to boost developers' productivity. However, their output quality hinges on the contextual richness of the prompts. Meanwhile, gaze behaviour carries rich cognitive…

人机交互 · 计算机科学 2025-11-12 Yasmine Elfares , Gül Çalikli , Mohamed Khamis

This paper aims to explore fundamental questions in the era when AI coding assistants like GitHub Copilot are widely adopted: what do developers truly value and criticize in AI coding assistants, and what does this reveal about their needs…

软件工程 · 计算机科学 2025-08-19 Yunbo Lyu , Zhou Yang , Jieke Shi , Jianming Chang , Yue Liu , David Lo

We witness an increasing usage of AI-assistants even for routine (classroom) programming tasks. However, the code generated on basis of a so called "prompt" by the programmer does not always meet accepted security standards. On the one…

软件工程 · 计算机科学 2024-08-15 Stefan Goetz , Andreas Schaad

Artificial intelligence (AI) assistants such as GitHub Copilot and ChatGPT, built on large language models like GPT-4, are revolutionizing how programming tasks are performed, raising questions about whether code is authored by generative…

软件工程 · 计算机科学 2024-03-08 Oseremen Joy Idialu , Noble Saji Mathews , Rungroj Maipradit , Joanne M. Atlee , Mei Nagappan

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

Large language models (LLMs) for code generation are becoming integral to modern software development, but their real-world prevalence and security impact remain poorly understood. We present the first large-scale empirical study of…

软件工程 · 计算机科学 2025-12-23 Bin Wang , Wenjie Yu , Yilu Zhong , Hao Yu , Keke Lian , Chaohua Lu , Hongfang Zheng , Dong Zhang , Hui Li

The increasing use of Large Language Models (LLMs) in software development has garnered significant attention from researchers evaluating the capabilities and limitations of LLMs for code generation. However, much of the research focuses on…

软件工程 · 计算机科学 2025-11-10 Xiao Yu , Lei Liu , Xing Hu , Jin Liu , Xin Xia

AI-powered coding assistant tools have revolutionized the software engineering ecosystem. However, prior work has demonstrated that these tools are vulnerable to poisoning attacks. In a poisoning attack, an attacker intentionally injects…

密码学与安全 · 计算机科学 2023-12-12 Sanghak Oh , Kiho Lee , Seonhye Park , Doowon Kim , Hyoungshick Kim

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