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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…

Software Engineering · Computer Science 2024-04-25 Xin Tan , Xiao Long , Xianjun Ni , Yinghao Zhu , Jing Jiang , Li Zhang

AI Code Completion (e.g., GitHub's Copilot) has revolutionized how computer science students interact with programming languages. However, AI code completion has been studied from the developers' perspectives, not the students' perspectives…

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…

Software Engineering · Computer Science 2024-06-27 Ruchika Pandey , Prabhat Singh , Raymond Wei , Shaila Shankar

Artificial Intelligence has demonstrated its significance in software engineering through notable improvements in productivity, accuracy, collaboration, and learning outcomes. This study examines the impact of generative AI tools,…

Software Engineering · Computer Science 2024-02-23 Muhammad Waseem , Teerath Das , Aakash Ahmad , Peng Liang , Mahdi Fehmideh , Tommi Mikkonen

Context: The rapid adoption of AI-assisted code generation tools, such as large language models (LLMs), is transforming software development practices. While these tools promise significant productivity gains, concerns regarding the…

Software Engineering · Computer Science 2026-03-27 Vehid Geruslu , Zulfiyya Aliyeva , Eray Tüzün

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…

Software Engineering · Computer Science 2026-03-24 Vahid Garousi , Zafar Jafarov , Aytan Mövsümova , Atif Namazov

The rapid adoption of AI coding agents and AI assistant web services is fundamentally changing how developers discover, consume, and interact with technical documentation. This paper studies that transformation across three interconnected…

Software Engineering · Computer Science 2026-04-06 Oleksii Borysenko

The rise of large language models (LLMs) has accelerated the development of automated techniques and tools for supporting various software engineering tasks, e.g., program understanding, code generation, software testing, and program…

Software Engineering · Computer Science 2026-01-29 Maja Vukovic , Rangeet Pan , Tin Kam Ho , Rahul Krishna , Raju Pavuluri , Michele Merler

AI-powered coding assistants are rapidly becoming fixtures in professional IDEs, yet their sustained influence on everyday development remains poorly understood. Prior research has focused on short-term use or self-reported perceptions,…

Software Engineering · Computer Science 2026-03-31 Agnia Sergeyuk , Eric Huang , Dariia Karaeva , Anastasiia Serova , Yaroslav Golubev , Iftekhar Ahmed

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…

Software Engineering · Computer Science 2026-04-14 Neha Rani , Jeevan Ram Munnangi , Austin Matthew Spangler , Donald Honeycutt

IDE-integrated AI coding assistants, which operate conversationally within developers' working codebases with access to project context and multi-file editing, are rapidly reshaping software development. However, empirical investigation of…

Software Engineering · Computer Science 2026-04-02 Ningzhi Tang , Chaoran Chen , Zihan Fang , Gelei Xu , Maria Dhakal , Yiyu Shi , Collin McMillan , Yu Huang , Toby Jia-Jun Li

The rise of large language models for code has reshaped software development. Autonomous coding agents, able to create branches, open pull requests, and perform code reviews, now actively contribute to real-world projects. Their growing…

Software Engineering · Computer Science 2026-04-02 Razvan Mihai Popescu , David Gros , Andrei Botocan , Rahul Pandita , Prem Devanbu , Maliheh Izadi

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…

Human-Computer Interaction · Computer Science 2025-12-12 Nan Chen , Luna K. Qiu , Arran Zeyu Wang , Zilong Wang , Yuqing Yang

Artificial Intelligence is one of the most significant and prominent technological innovations which has reshaped all aspects of human life on the lines of ease from magnitudes like shopping, data collection, driving, everyday life, medical…

Human-Computer Interaction · Computer Science 2022-12-26 Meenu Varghese , Satheesh Raj , Vigneshwaran Venkatesh

Modern code review is a process in which an incremental code contribution made by a code author is reviewed by one or more peers before it is committed to the version control system. An important element of modern code review is verifying…

Artificial Intelligence (AI) agents have rapidly evolved from specialized, rule-based programs to versatile, learning-driven autonomous systems capable of perception, reasoning, and action in complex environments. The explosion of data,…

It is expected that in the near future, AI software development assistants will play an important role in the software industry. However, current software development assistants tend to be unreliable, often producing incorrect, unsafe, or…

Software Engineering · Computer Science 2024-01-24 Daniel Maninger , Krishna Narasimhan , Mira Mezini

Artificially intelligent chatbot, such as ChatGPT, represents a recent and powerful advancement in the AI domain. Users prefer them for obtaining quick and precise answers, avoiding the usual hassle of clicking through multiple links in…

Artificial Intelligence · Computer Science 2023-11-01 Seraj A. M. Mostafa , Md Z. Islam , Mohammad Z. Islam , Fairose Jeehan , Saujanna Jafreen , Raihan U. Islam

Standardized surveys scale efficiently but sacrifice depth, while conversational interviews improve response quality at the cost of scalability and consistency. This study bridges the gap between these methods by introducing a framework for…

Human-Computer Interaction · Computer Science 2025-12-02 Soubhik Barari , Jarret Angbazo , Natalie Wang , Leah M. Christian , Elizabeth Dean , Zoe Slowinski , Brandon Sepulvado

Over the last several decades, software has been woven into the fabric of every aspect of our society. As software development surges and code infrastructure of enterprise applications ages, it is now more critical than ever to increase…