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相关论文: Impact of AI-tooling on the Engineering Workspace

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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

With the rise of AI-powered coding assistants, firms and programmers are exploring how to optimize their interaction with them. Research has so far mainly focused on evaluating output quality and productivity gains, leaving aside the…

人机交互 · 计算机科学 2025-12-24 Charlotte Brandebusemeyer , Tobias Schimmer , Bert Arnrich

GitHub's Copilot for Pull Requests (PRs) is a promising service aiming to automate various developer tasks related to PRs, such as generating summaries of changes or providing complete walkthroughs with links to the relevant code. As this…

软件工程 · 计算机科学 2024-02-15 Tao Xiao , Hideaki Hata , Christoph Treude , Kenichi Matsumoto

AI-based interactive assistants are advancing human-augmenting technology, yet their effects on users' mental and physiological states remain under-explored. We address this gap by analyzing how Copilot for Microsoft Word, a LLM-based…

人机交互 · 计算机科学 2025-06-05 Matthew Russell , Aman Shah , Giles Blaney , Judith Amores , Mary Czerwinski , Robert J. K. Jacob

When AI coding agents open branches and submit pull requests (PRs), two questions co-determine oversight design: who starts the work (operational agency) and who authorizes its completion (merge governance). We characterize tools along a…

软件工程 · 计算机科学 2026-05-14 Young Jo , Chung , Safwat Hassan

AI coding agents are increasingly acting as autonomous contributors by generating and submitting pull requests (PRs). However, we lack empirical evidence on how these agent-generated PRs differ from human contributions, particularly in how…

软件工程 · 计算机科学 2026-04-07 Daniel Ogenrwot , John Businge

Qualitative coding relies on a researcher's application of codes to textual data. As coding proceeds across large datasets, interpretations of codes often shift (temporal drift), reducing the credibility of the analysis. Existing…

人机交互 · 计算机科学 2026-04-22 Athikash Jeyaganthan , Kai Xu , Franziska Becker , Steffen Koch

Developers now have access to a growing array of increasingly autonomous AI tools for software development. While many studies examine copilots that provide chat assistance or code completions, evaluations of coding agents -- which can…

软件工程 · 计算机科学 2025-09-16 Valerie Chen , Ameet Talwalkar , Robert Brennan , Graham Neubig

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

AI assistance tools such as ChatGPT, Copilot, and Gemini have dramatically impacted the nature of software development in recent years. Numerous studies have studied the positive benefits that practitioners have achieved from using these…

软件工程 · 计算机科学 2024-06-26 Ze Shi Li , Nowshin Nawar Arony , Ahmed Musa Awon , Daniela Damian , Bowen Xu

Software bots have been facilitating several development activities in Open Source Software (OSS) projects, including code review. However, these bots may bring unexpected impacts to group dynamics, as frequently occurs with new technology…

软件工程 · 计算机科学 2024-01-24 Mairieli Wessel , Alexander Serebrenik , Igor Wiese , Igor Steinmacher , Marco A. Gerosa

Code review is a widespread practice to improve software quality and transfer knowledge. It is often seen as time-consuming due to the need for manual effort and potential delays. Several AI-assisted tools, such as Qodo, GitHub Copilot, and…

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…

We analyze 37.5 million deidentified conversations with Microsoft's Copilot between January and September 2025. Unlike prior analyses of AI usage, we focus not just on what people do with AI, but on how and when they do it. We find that how…

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…

Large language models (LLMs) have recently gained prominence in the field of software development, significantly boosting productivity and simplifying teamwork. Although prior studies have examined task-specific applications, the…

软件工程 · 计算机科学 2025-11-14 Antonio Collante , Samuel Abedu , SayedHassan Khatoonabadi , Ahmad Abdellatif , Ebube Alor , Emad Shihab

How much does AI assistance impact developer productivity? To date, the software engineering literature has provided a range of answers, targeting a diversity of outcomes: from perceived productivity to speed on task and developer…

Generative artificial intelligence (AI) facilitates content production and enhances ideation capabilities, which can significantly influence developer productivity and participation in software development. To explore its impact on…

软件工程 · 计算机科学 2026-05-15 Fangchen Song , Ashish Agarwal , Wen Wen

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

Adopting AI copilots in professional workflows presents opportunities for enhanced productivity, efficiency, and decision making. In this paper, we present results from a six month trial of M365 Copilot conducted at our organisation in…

计算机与社会 · 计算机科学 2025-04-01 Muneera Bano , Didar Zowghi , Jon Whittle , Liming Zhu , Andrew Reeson , Rob Martin , Jen Parsons