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Although large language models (LLMs) have demonstrated impressive ability in code generation, they are still struggling to address the complicated intent provided by humans. It is widely acknowledged that humans typically employ planning…

Software Engineering · Computer Science 2025-10-21 Xue Jiang , Yihong Dong , Lecheng Wang , Zheng Fang , Qiwei Shang , Ge Li , Zhi Jin , Wenpin Jiao

Large language models (LLMs) like GitHub Copilot and ChatGPT have emerged as powerful tools for code generation, significantly enhancing productivity and accelerating software development. However, existing benchmarks primarily focus on…

Software Engineering · Computer Science 2024-09-27 Yixi Wu , Pengfei He , Zehao Wang , Shaowei Wang , Yuan Tian , Tse-Hsun Chen

Recent studies have adopted pre-trained language models, such as CodeT5 and CodeGPT, for automated program generation tasks like code generation, repair, and translation. Numerous language model-based approaches have been proposed and…

Software Engineering · Computer Science 2024-01-09 Yue Liu , Chakkrit Tantithamthavorn , Yonghui Liu , Li Li

Large language models such as ChatGPT have the potential to revolutionize the construction industry by automating repetitive and time-consuming tasks. This paper presents a study in which ChatGPT was used to generate a construction schedule…

Human-Computer Interaction · Computer Science 2023-07-21 Samuel A. Prieto , Eyob T. Mengiste , Borja García de Soto

This paper introduces prompted software engineering (PSE), which integrates prompt engineering to build effective prompts for language-based AI models, to enhance the software development process. PSE enables the use of AI models in…

Software Engineering · Computer Science 2023-11-08 Dae-Kyoo Kim

This paper introduces a novel research direction for model-to-text/code transformations by leveraging Large Language Models (LLMs) that can be enhanced with Retrieval-Augmented Generation (RAG) pipelines. The focus is on quantum and hybrid…

Software Engineering · Computer Science 2025-12-03 Nazanin Siavash , Armin Moin

This study assesses the capability of ChatGPT to generate finite element code for geotechnical engineering applications from a set of prompts. We tested three different initial boundary value problems using a hydro-mechanically coupled…

Numerical Analysis · Mathematics 2025-02-07 Taegu Kim , Tae Sup Yun , Hyoung Suk Suh

In the rapidly evolving industry of software development, coding efficiency and accuracy play significant roles in delivering high-quality software. Various code suggestion and completion tools, such as CodeBERT from Microsoft and GPT-3.5…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-11 Bingbing Zhang , Ziyu Lin , Yingxin Su

The use of generative AI (GenAI) tools has fundamentally transformed software development. Central to this shift is prompt engineering, the practice of crafting textual prompts to guide GenAI tools in generating useful content. Although…

Software Engineering · Computer Science 2026-01-26 Daniel Otten , Trevor Stalnaker , Nathan Wintersgill , Oscar Chaparro , Denys Poshyvanyk

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

Large Language Models (LLMs) are revolutionizing the field of computing education with their powerful code-generating capabilities. Traditional pedagogical practices have focused on code writing tasks, but there is now a shift in importance…

Human-Computer Interaction · Computer Science 2023-11-13 Paul Denny , Juho Leinonen , James Prather , Andrew Luxton-Reilly , Thezyrie Amarouche , Brett A. Becker , Brent N. Reeves

We characterize and demonstrate how the principles of direct manipulation can improve interaction with large language models. This includes: continuous representation of generated objects of interest; reuse of prompt syntax in a toolbar of…

Human-Computer Interaction · Computer Science 2025-02-25 Damien Masson , Sylvain Malacria , Géry Casiez , Daniel Vogel

Unit testing is an essential activity in software development for verifying the correctness of software components. However, manually writing unit tests is challenging and time-consuming. The emergence of Large Language Models (LLMs) offers…

Software Engineering · Computer Science 2024-09-26 Lin Yang , Chen Yang , Shutao Gao , Weijing Wang , Bo Wang , Qihao Zhu , Xiao Chu , Jianyi Zhou , Guangtai Liang , Qianxiang Wang , Junjie Chen

One of the most common solutions adopted by software researchers to address code generation is by training Large Language Models (LLMs) on massive amounts of source code. Although a number of studies have shown that LLMs have been…

Software Engineering · Computer Science 2023-08-25 Daniel Rodriguez-Cardenas , David N. Palacio , Dipin Khati , Henry Burke , Denys Poshyvanyk

Large language models (LLMs) like ChatGPT (i.e., gpt-3.5-turbo and gpt-4) exhibited remarkable advancement in a range of software engineering tasks associated with source code such as code review and code generation. In this paper, we…

Software Engineering · Computer Science 2023-10-17 Michael Fu , Chakkrit Tantithamthavorn , Van Nguyen , Trung Le

The rapid development of large language models (LLMs), such as ChatGPT, has revolutionized the efficiency of creating programming tutorials. LLMs can be instructed with text prompts to generate comprehensive text descriptions of code…

Human-Computer Interaction · Computer Science 2024-10-29 Yihan Liu , Zhen Wen , Luoxuan Weng , Ollie Woodman , Yi Yang , Wei Chen

Since the launch of ChatGPT, a powerful AI Chatbot developed by OpenAI, large language models (LLMs) have made significant advancements in both academia and industry, bringing about a fundamental engineering paradigm shift in many areas.…

Software Engineering · Computer Science 2023-11-22 Xiaoxia Liu , Jingyi Wang , Jun Sun , Xiaohan Yuan , Guoliang Dong , Peng Di , Wenhai Wang , Dongxia Wang

Software engineers have historically relied on human-powered Q&A platforms like Stack Overflow (SO) as coding aids. With the rise of generative AI, developers have started to adopt AI chatbots, such as ChatGPT, in their software development…

Human-Computer Interaction · Computer Science 2025-02-24 Jiachen Li , Elizabeth Mynatt , Varun Mishra , Jonathan Bell

While large language models (LLMs) such as ChatGPT and PaLM have demonstrated remarkable performance in various language understanding and generation tasks, their capabilities in complex reasoning and intricate knowledge utilization still…

Computation and Language · Computer Science 2023-10-11 Haodi Zhang , Min Cai , Xinhe Zhang , Chen Jason Zhang , Rui Mao , Kaishun Wu

Ensemble learning has been widely used in machine learning to improve model robustness, accuracy, and generalization, but has not yet been applied to code generation tasks with large language models (LLMs). We propose an ensemble approach…

Software Engineering · Computer Science 2025-07-22 Tarek Mahmud , Bin Duan , Corina Pasareanu , Guowei Yang