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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…

Modern code generation tools utilizing AI models like Large Language Models (LLMs) have gained increased popularity due to their ability to produce functional code. However, their usage presents security challenges, often resulting in…

软件工程 · 计算机科学 2025-02-07 Yujia Fu , Peng Liang , Amjed Tahir , Zengyang Li , Mojtaba Shahin , Jiaxin Yu , Jinfu Chen

Generative AI (GenAI) has fundamentally changed how knowledge workers, such as software developers, solve tasks and collaborate to build software products. Introducing innovative tools like ChatGPT and Copilot has created new opportunities…

软件工程 · 计算机科学 2024-05-06 Rasmus Ulfsnes , Nils Brede Moe , Viktoria Stray , Marianne Skarpen

Neural code synthesis has reached a point where snippet generation is accurate enough to be considered for integration into human software development workflows. Commercial products aim to increase programmers' productivity, without being…

As Large Language Models (LLMs) gain in popularity, it is important to understand how novice programmers use them. We present a thematic analysis of 33 learners, aged 10-17, independently learning Python through 45 code-authoring tasks…

人机交互 · 计算机科学 2023-09-26 Majeed Kazemitabaar , Xinying Hou , Austin Henley , Barbara J. Ericson , David Weintrop , Tovi Grossman

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

Generative AI (genAI) tools (e.g., ChatGPT, Copilot) have become ubiquitous in software engineering (SE). As SE educators, it behooves us to understand the consequences of genAI usage among SE students and to create a holistic view of where…

Automatic programming has seen increasing popularity due to the emergence of tools like GitHub Copilot which rely on Large Language Models (LLMs). At the same time, automatically generated code faces challenges during deployment due to…

软件工程 · 计算机科学 2024-05-16 Michael R. Lyu , Baishakhi Ray , Abhik Roychoudhury , Shin Hwei Tan , Patanamon Thongtanunam

Learning to program can be challenging, and providing high-quality and timely support at scale is hard. Generative AI and its products, like ChatGPT, can create a solution for most intro-level programming problems. However, students might…

计算机与社会 · 计算机科学 2024-05-31 Xinying Hou , Zihan Wu , Xu Wang , Barbara J. Ericson

This study explores the integration of the ChatGPT API with GPT-4 model and Microsoft Copilot Studio on the Microsoft Teams platform to develop an intelligent tutoring system. Designed to provide instant support to students, the system…

计算与语言 · 计算机科学 2024-05-24 Wei-Yu Chen

Introductory programming courses often rely on small code-writing exercises that have clearly specified problem statements. This limits opportunities for students to practice how to clarify ambiguous requirements -- a critical skill in…

人机交互 · 计算机科学 2025-04-17 Paul Denny , Viraj Kumar , Stephen MacNeil , James Prather , Juho Leinonen

With their remarkable ability to generate code, large language models (LLMs) are a transformative technology for computing education practice. They have created an urgent need for educators to rethink pedagogical approaches and teaching…

Generative Artificial Intelligence (GenAI) tools for source code generation have significantly boosted productivity in software development. However, they also raise concerns, particularly the risk that developers may rely heavily on these…

软件工程 · 计算机科学 2025-07-14 Otávio Cury , Guilherme Avelino

With the popularity of automatic code generation tools, such as Copilot, the study of the potential hazards of these tools is gaining importance. In this work, we explore the social bias problem in pre-trained code generation models. We…

计算与语言 · 计算机科学 2023-05-25 Yan Liu , Xiaokang Chen , Yan Gao , Zhe Su , Fengji Zhang , Daoguang Zan , Jian-Guang Lou , Pin-Yu Chen , Tsung-Yi Ho

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…

软件工程 · 计算机科学 2026-02-19 Yuan Huang , Yukang Zhou , Xiangping Chen , Zibin Zheng

Through a mixed-method analysis of data from Scratch, we examine how novices learn to program with simple data structures by using community-produced learning resources. First, we present a qualitative study that describes how…

人机交互 · 计算机科学 2026-02-17 Ruijia Cheng , Sayamindu Dasgupta , Benjamin Mako Hill

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 (GenAI) tools such as ChatGPT now provide novice programmers with instant, personalized support and are reshaping computing education. While a growing body of work examines AI's immediate impacts, longitudinal evidence remains…

人机交互 · 计算机科学 2026-03-25 Boxuan Ma , Huiyong Li , Gen Li , Li Chen , Cheng Tang , Atsushi Shimada , Shin'ichi Konomi

Generative AI agents are reshaping human-computer interaction, shifting users from direct task execution to supervising machine-driven actions, especially the rise of "vibe coding" in programming. Yet little is known about how screen reader…

人机交互 · 计算机科学 2025-12-12 Nan Chen , Luna K. Qiu , Arran Zeyu Wang , Zilong Wang , Yuqing Yang

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