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Background: With the proliferation of crowd-sourced developer forums, software developers are increasingly sharing more coding solutions to programming problems with others in forums. The decentralized nature of knowledge sharing on sites…

Software Engineering · Computer Science 2022-10-03 Madhu Selvaraj , Gias Uddin

AI coding assistants are now central to professional software development, yet their impact on how developers think about and practice security remains poorly understood. While prior work has documented vulnerability rates in AI-generated…

In software development, the predominant emphasis on functionality often supersedes security concerns, a trend gaining momentum with AI-driven automation tools like GitHub Copilot. These tools significantly improve developers' efficiency in…

Peer code review has been found to be effective in identifying security vulnerabilities. However, despite practicing mandatory code reviews, many Open Source Software (OSS) projects still encounter a large number of post-release security…

Software Engineering · Computer Science 2021-02-16 Rajshakhar Paul , Asif Kamal Turzo , Amiangshu Bosu

AI-supported programming has arrived, as shown by the introduction and successes of large language models for code, such as Copilot/Codex (Github/OpenAI) and AlphaCode (DeepMind). Above human average performance on programming challenges is…

Software Engineering · Computer Science 2023-03-08 Rohith Pudari , Neil A. Ernst

The study on GitHub Copilot by GovTech Singapore's Engineering Productivity Programme (EPP) reveals significant potential for AI Code Assistant tools to boost developer productivity and improve application quality in the public sector.…

Software Engineering · Computer Science 2024-09-27 Kevin KB Ng , Liyana Fauzi , Leon Leow , Jaren Ng

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…

Cryptography and Security · Computer Science 2023-12-12 Sanghak Oh , Kiho Lee , Seonhye Park , Doowon Kim , Hyoungshick Kim

Code-recommendation systems, such as Copilot and CodeWhisperer, have the potential to improve programmer productivity by suggesting and auto-completing code. However, to fully realize their potential, we must understand how programmers…

Software Engineering · Computer Science 2024-04-23 Hussein Mozannar , Gagan Bansal , Adam Fourney , Eric Horvitz

This paper aims to evaluate GitHub Copilot's generated code quality based on the LeetCode problem set using a custom automated framework. We evaluate the results of Copilot for 4 programming languages: Java, C++, Python3 and Rust. We aim to…

Software Engineering · Computer Science 2024-06-18 Ilja Siroš , Dave Singelée , Bart Preneel

With the rapid development of large language models in code generation, AI-powered editors such as GitHub Copilot and Cursor are revolutionizing software development practices. At the same time, studies have identified potential defects in…

Software Engineering · Computer Science 2026-02-19 Yuan Huang , Yukang Zhou , Xiangping Chen , Zibin Zheng

In 2017, GitHub was the first online open source platform to show security alerts to its users. It has since introduced further security interventions to help developers improve the security of their open source software. In this study, we…

Cryptography and Security · Computer Science 2023-09-27 Felix Fischer , Jonas Höbenreich , Jens Grossklags

The software engineering community recently has witnessed widespread deployment of AI programming assistants, such as GitHub Copilot. However, in practice, developers do not accept AI programming assistants' initial suggestions at a high…

Software Engineering · Computer Science 2023-09-19 Jenny T. Liang , Chenyang Yang , Brad A. Myers

Generative Artificial Intelligence (AI) tools have been used to generate human-like content across multiple domains (e.g., sound, image, text, and programming). However, their reliability in terms of correctness and functionality in novel…

Networking and Internet Architecture · Computer Science 2025-10-24 Felipe Avencourt Soares , Muriel F. Franco , Eder J. Scheid , Lisandro Z. Granville

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…

Knowledge transfer is fundamental to human collaboration and is therefore common in software engineering. Pair programming is a prominent instance. With the rise of AI coding assistants, developers now not only work with human partners but…

Software Engineering · Computer Science 2025-06-06 Alisa Welter , Niklas Schneider , Tobias Dick , Kallistos Weis , Christof Tinnes , Marvin Wyrich , Sven Apel

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…

Software Engineering · Computer Science 2024-02-15 Vincenzo Corso , Leonardo Mariani , Daniela Micucci , Oliviero Riganelli

This paper presents the first empirical study of a vulnerability detection and fix tool with professional software developers on real projects that they own. We implemented DeepVulGuard, an IDE-integrated tool based on state-of-the-art…

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…

Software Engineering · Computer Science 2025-09-26 Sayed Mahbub Hasan Amiri , Md Mainul Islam

[Context] AI assistants, like GitHub Copilot and Cursor, are transforming software engineering. While several studies highlight productivity improvements, their impact on maintainability requires further investigation. [Objective] This…

Software Engineering · Computer Science 2026-02-27 Markus Borg , Dave Hewett , Nadim Hagatulah , Noric Couderc , Emma Söderberg , Donald Graham , Uttam Kini , Dave Farley

As large language models (LLMs) become more powerful and are deployed more autonomously, it will be increasingly important to prevent them from causing harmful outcomes. Researchers have investigated a variety of safety techniques for this…

Machine Learning · Computer Science 2024-07-24 Ryan Greenblatt , Buck Shlegeris , Kshitij Sachan , Fabien Roger