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The evolution of LLM has resulted in coding-focused models that are able to produce code snippets with high accuracy. More and more AI coding assistant tools are now available, leading to greater integration of AI coding assistants into…

软件工程 · 计算机科学 2026-04-14 Neha Rani , Jeevan Ram Munnangi , Austin Matthew Spangler , Donald Honeycutt

This study examines the impact of GitHub Copilot on a large sample of Copilot users (n=934,533). The analysis shows that users on average accept nearly 30% of the suggested code, leading to increased productivity. Furthermore, our research…

综合经济学 · 经济学 2023-06-28 Thomas Dohmke , Marco Iansiti , Greg Richards

GitHub Copilot is transforming software development by automating tasks and boosting productivity through AI driven code generation. In this paper, we conduct a literature survey to synthesize insights on Copilot's impact on productivity…

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.…

软件工程 · 计算机科学 2024-09-27 Kevin KB Ng , Liyana Fauzi , Leon Leow , Jaren Ng

Generative AI technologies promise to transform the product development lifecycle. This study evaluates the efficiency gains, areas for improvement, and emerging challenges of using GitHub Copilot, an AI-powered coding assistant. We…

软件工程 · 计算机科学 2024-06-27 Ruchika Pandey , Prabhat Singh , Raymond Wei , Shaila Shankar

Artificial Intelligence (AI) tools such as GitHub Copilot and ChatGPT are increasingly used in software engineering (SE) for tasks such as code, test, and documentation generation. However, engineers often face uncertainty about when to…

软件工程 · 计算机科学 2026-03-24 Vahid Garousi , Zafar Jafarov , Aytan Mövsümova , Atif Namazov

Generative AI tools hold promise to increase human productivity. This paper presents results from a controlled experiment with GitHub Copilot, an AI pair programmer. Recruited software developers were asked to implement an HTTP server in…

软件工程 · 计算机科学 2023-02-14 Sida Peng , Eirini Kalliamvakou , Peter Cihon , Mert Demirer

This paper presents a comprehensive evaluation of GitHub Copilot's deployment and impact on developer productivity at Zoominfo, a leading Go-To-Market (GTM) Intelligence Platform. We describe our systematic four-phase approach to evaluating…

软件工程 · 计算机科学 2025-01-24 Gal Bakal , Ali Dasdan , Yaniv Katz , Michael Kaufman , Guy Levin

In software development there is a constant pressure to produce code faster and faster without compromising on quality. New tools supporting developers are created in response to this demand. Currently a new generation of such solutions is…

软件工程 · 计算机科学 2023-01-13 Mateusz Jaworski , Dariusz Piotrkowski

The rapid advancements in Generative AI (GenAI) tools, such as ChatGPT and GitHub Copilot, are transforming software engineering by automating code generation tasks. While these tools improve developer productivity, they also present…

软件工程 · 计算机科学 2024-09-04 Alyssia Chen , Timothy Huo , Yunhee Nam , Dan Port , Anthony Peruma

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

[Background/Context] AI assistants like GitHub Copilot are transforming software engineering; several studies have highlighted productivity improvements. However, their impact on code quality, particularly in terms of maintainability,…

软件工程 · 计算机科学 2024-08-21 Markus Borg , Dave Hewett , Donald Graham , Noric Couderc , Emma Söderberg , Luke Church , Dave Farley

This study investigates the real-world impact of the generative AI (GenAI) tool GitHub Copilot on developer activity and perceived productivity. We conducted a mixed-methods case study in NAV IT, a large public sector agile organization. We…

To understand the impacts of AI-driven coding tools on engineers' workflow and work environment, we utilize the Jellyfish platform to analyze indicators of change. Key indicators are derived from Allocations, Coding Fraction vs. PR…

软件工程 · 计算机科学 2024-06-13 Lena Chretien , Nikolas Albarran

GenAI solutions like GitHub Copilot have been shown to increase the productivity of software developers. Yet prior work remains unclear on the quality of code produced and the challenges of maintaining it in software projects. If quality…

综合经济学 · 经济学 2026-01-29 Feiyang Xu , Poonacha K. Medappa , Murat M. Tunc , Martijn Vroegindeweij , Jan C. Fransoo

When graduates of computing degree programs enter the software industry, they will most likely join teams working on legacy code bases developed by people other than themselves. In these so-called brownfield software development settings,…

Motivation. Trust in generative AI programming assistants is a vital attitude that impacts how programmers use those programming assistants. Programmers that are over-trusting may be too reliant on their tools, leading to incorrect or…

人机交互 · 计算机科学 2025-09-17 Anshul Shah , Thomas Rexin , Elena Tomson , Leo Porter , William G. Griswold , Adalbert Gerald Soosai Raj

This paper explores the integration of AI tools, such as ChatGPT and GitHub Copilot, in the Software Architecture for Embedded Systems course. AI-supported workflows enabled students to rapidly prototype complex projects, emphasizing…

人工智能 · 计算机科学 2025-03-21 Giovanni Adorni , Daniele Grosso

Context: Generative Artificial Intelligence (GenAI) tools, such as GitHub Copilot and GPT tools, represent a paradigm shift in software engineering. While their impact is clear, most studies are short-term, focused on individual…

With the advances in machine learning, there is a growing interest in AI-enabled tools for autocompleting source code. GitHub Copilot, also referred to as the "AI Pair Programmer", has been trained on billions of lines of open source GitHub…

软件工程 · 计算机科学 2023-04-28 Beiqi Zhang , Peng Liang , Xiyu Zhou , Aakash Ahmad , Muhammad Waseem
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