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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

Large language models (LLMs) are being increasingly adopted for programming work. Prior work shows that while LLMs accelerate task completion for professional programmers, beginning programmers struggle to prompt models effectively.…

Software Engineering · Computer Science 2025-04-29 Yangtian Zi , Luisa Li , Arjun Guha , Carolyn Jane Anderson , Molly Q Feldman

Artificial Intelligence (AI)-driven code generation tools are increasingly used throughout the software development lifecycle to accelerate coding tasks. However, the security of AI-generated code using Large Language Models (LLMs) remains…

Cryptography and Security · Computer Science 2026-03-10 Mohammed Kharma , Soohyeon Choi , Mohammed AlKhanafseh , David Mohaisen

This study compares the design practices and performance of ChatGPT 4.0, a large language model (LLM), against graduate engineering students in a 48-hour prototyping hackathon, based on a dataset comprising more than 100 prototypes. The LLM…

Human-Computer Interaction · Computer Science 2025-03-04 Daniel Nygård Ege , Henrik H. Øvrebø , Vegar Stubberud , Martin Francis Berg , Christer Elverum , Martin Steinert , Håvard Vestad

The adoption of Large Language Models (LLMs) for code generation in data science offers substantial potential for enhancing tasks such as data manipulation, statistical analysis, and visualization. However, the effectiveness of these models…

Software Engineering · Computer Science 2024-11-20 Nathalia Nascimento , Everton Guimaraes , Sai Sanjna Chintakunta , Santhosh Anitha Boominathan

The rapid integration of Large Language Models (LLMs) into software development workflows has given rise to a new class of AI-assisted coding tools, such as Claude-Code, Codex, and Gemini CLIs. While promising significant productivity…

Software Engineering · Computer Science 2026-03-24 Ruixin Zhang , Wuyang Dai , Hung Viet Pham , Gias Uddin , Jinqiu Yang , Song Wang

Powered by recent advances in code-generating models, AI assistants like Github Copilot promise to change the face of programming forever. But what is this new face of programming? We present the first grounded theory analysis of how…

Human-Computer Interaction · Computer Science 2022-11-01 Shraddha Barke , Michael B. James , Nadia Polikarpova

As generative AI systems are integrated into educational settings, students often encounter AI-generated output while working through learning tasks, either by requesting help or through integrated tools. Trust in AI can influence how…

Human-Computer Interaction · Computer Science 2026-04-16 Griffin Pitts , Neha Rani , Weedguet Mildort

Understanding code is challenging, especially when working in new and complex development environments. Code comments and documentation can help, but are typically scarce or hard to navigate. Large language models (LLMs) are revolutionizing…

Software Engineering · Computer Science 2024-01-18 Daye Nam , Andrew Macvean , Vincent Hellendoorn , Bogdan Vasilescu , Brad Myers

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…

Human-Computer Interaction · Computer Science 2026-03-25 Boxuan Ma , Huiyong Li , Gen Li , Li Chen , Cheng Tang , Atsushi Shimada , Shin'ichi Konomi

The rapid development of AI-driven tools, particularly large language models (LLMs), is reshaping professional writing. Still, key aspects of their adoption such as languages support, ethics, and long-term impact on writers voice and…

Computation and Language · Computer Science 2025-07-31 Anastasiia Ivanova , Natalia Fedorova , Sergei Tilga , Ekaterina Artemova

When programming students encounter errors in their code, compiler messages or static analysis output often provide limited guidance, particularly for novice programmers. Personalized feedback from instructors can be effective but does not…

Data analysis is challenging as it requires synthesizing domain knowledge, statistical expertise, and programming skills. Assistants powered by large language models (LLMs), such as ChatGPT, can assist analysts by translating natural…

Human-Computer Interaction · Computer Science 2024-03-05 Ken Gu , Ruoxi Shang , Tim Althoff , Chenglong Wang , Steven M. Drucker

Recent advancements in large language models, including GPT-4 and its variants, and Generative AI-assisted coding tools like GitHub Copilot, ChatGPT, and Tabnine, have significantly transformed software development. This paper analyzes how…

Software Engineering · Computer Science 2024-11-05 Vijay Joshi , Iver Band

Recent AI code assistants have significantly improved their ability to process more complex contexts and generate entire codebases based on a textual description, compared to the popular snippet-level generation. These codebase AI…

Software Engineering · Computer Science 2025-08-12 Philipp Eibl , Sadra Sabouri , Souti Chattopadhyay

Objective. To explore how novice programmers' trust in Artificial Intelligence-driven Development Environments (AIDEs) relates to their coding performance and AI compliance while programming under time pressure. Background. Computer…

Human-Computer Interaction · Computer Science 2026-04-22 Nicholas Gardella , Matthew L. Bolton , Sara L. Riggs

This paper investigates the factors influencing programmers' adoption of AI-generated JavaScript code recommendations within the context of lightweight, function-level programming tasks. It extends prior research by (1) utilizing objective…

Software Engineering · Computer Science 2026-02-18 Changwen Li , Christoph Treude , Ofir Turel

Recent advancements in artificial intelligence (AI) are fundamentally reshaping computing, with large language models (LLMs) now effectively being able to generate and interpret source code and natural language instructions. These emergent…

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…

Computers and Society · Computer Science 2024-05-31 Xinying Hou , Zihan Wu , Xu Wang , Barbara J. Ericson

The proliferation of open large language models (LLMs) is fostering a vibrant ecosystem of research and innovation in artificial intelligence (AI). However, the methods of collaboration used to develop open LLMs both before and after their…

Software Engineering · Computer Science 2025-10-01 Johan Linåker , Cailean Osborne , Jennifer Ding , Ben Burtenshaw
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