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相关论文: Students' Perspective on AI Code Completion: Benef…

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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…

软件工程 · 计算机科学 2023-03-08 Rohith Pudari , Neil A. Ernst

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

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

Recent In-IDE AI coding assistant tools (ACATs) like GitHub Copilot have significantly impacted developers' coding habits. While some studies have examined their effectiveness, there lacks in-depth investigation into the actual assistance…

软件工程 · 计算机科学 2024-04-25 Xin Tan , Xiao Long , Xianjun Ni , Yinghao Zhu , Jing Jiang , Li Zhang

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

With the advances in machine learning, there is a growing interest in AI-enabled tools for autocompleting source code. GitHub Copilot has been trained on billions of lines of open source GitHub code, and is one of such tools that has been…

软件工程 · 计算机科学 2023-09-13 Beiqi Zhang , Peng Liang , Xiyu Zhou , Aakash Ahmad , Muhammad Waseem

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

The arrival of AI coding assistants in educational settings presents a paradigm shift, introducing a "new kid in the classroom" for both students and instructors. Thus, understanding the perceptions of these key actors about this new…

人机交互 · 计算机科学 2025-09-17 Sergio Rojas-Galeano

Teaching Computer Science (CS) students how to comprehend and maintain legacy code bases is a critical challenge in software engineering education. While Generative AI (GenAI) assistants like GitHub Copilot improve task completion speed and…

软件工程 · 计算机科学 2026-05-12 Yunhan Qiao , Md Istiak Hossain Shihab , Summit Haque , and Christopher Hundhausen

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…

软件工程 · 计算机科学 2025-09-26 Sayed Mahbub Hasan Amiri , Md Mainul Islam

A persistent challenge in accessible computing is ensuring developers produce web UI code that supports assistive technologies. Despite numerous specialized accessibility tools, novice developers often remain unaware of them, leading to…

人机交互 · 计算机科学 2025-02-18 Peya Mowar , Yi-Hao Peng , Jason Wu , Aaron Steinfeld , Jeffrey P. Bigham

[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…

软件工程 · 计算机科学 2026-02-27 Markus Borg , Dave Hewett , Nadim Hagatulah , Noric Couderc , Emma Söderberg , Donald Graham , Uttam Kini , Dave Farley

As generative AI becomes embedded in higher education, it increasingly shapes how students complete academic tasks. While these systems offer efficiency and support, concerns persist regarding over-automation, diminished student agency, and…

人机交互 · 计算机科学 2026-03-16 Nifu Dan

Code-generating Artificial Intelligence has gained popularity within both professional and educational programming settings over the past several years. While research and pedagogy are beginning to cope with this change, computing students…

人机交互 · 计算机科学 2026-04-21 Nicholas Gardella , James Prather , Juho Leinonen , Paul Denny , Raymond Pettit , Sara L. Riggs

This study examines how AI code assistants shape novice programmers experiences during a two-part exam in an introductory programming course. In the first part, students completed a programming task with access to AI support; in the second,…

新兴技术 · 计算机科学 2025-08-11 Sergio Rojas-Galeano , Julian Tejada , Fernando Marmolejo-Ramos

AI-supported tools can help learners overcome challenges in programming education by providing adaptive assistance. However, existing research often focuses on individual tools rather than deriving broader design recommendations. A key…

人机交互 · 计算机科学 2025-03-04 Zihan Wu , Yicheng Tang , Barbara Ericson

Computer programming represents a rapidly evolving and sought-after career path in the 21st century. Nevertheless, novice learners may find the process intimidating for several reasons, such as limited and highly competitive career…

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

AI-powered coding assistants can support students in programming courses by providing on-demand explanations and debugging help. However, existing research often focuses on individual tools, leaving a gap in evidence-based design…

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

In recent years, several industrial solutions for the problem of multi-token code completion appeared, each making a great advance in the area but mostly focusing on cloud-based runtime and avoiding working on the end user's device. In this…

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