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相关论文: Using Large Language Models for Commit Message Gen…

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Commit messages (CMs) are an essential part of version control. By providing important context in regard to what has changed and why, they strongly support software maintenance and evolution. But writing good CMs is difficult and often…

软件工程 · 计算机科学 2023-09-12 David Faragó , Michael Färber , Christian Petrov

GitHub commits, which record the code changes with natural language messages for description, play a critical role for software developers to comprehend the software evolution. To promote the development of the open-source software…

软件工程 · 计算机科学 2023-01-24 Shangqing Liu , Yanzhou Li , Xiaofei Xie , Yang Liu

The sudden emergence of large language models (LLMs) such as ChatGPT has had a disruptive impact throughout the computing education community. LLMs have been shown to excel at producing correct code to CS1 and CS2 problems, and can even act…

人工智能 · 计算机科学 2024-09-30 Eddie Antonio Santos , Brett A. Becker

Large language models (LLMs) have shown remarkable abilities to generate code, however their ability to develop software for embedded systems, which requires cross-domain knowledge of hardware and software has not been studied. In this…

Large Language Models (LLMs) have become a focal point of research across various domains, including software engineering, where their capabilities are increasingly leveraged. Recent studies have explored the integration of LLMs into…

软件工程 · 计算机科学 2024-10-14 Yi Wen Heng , Zeyang Ma , Zhenhao Li , Dong Jae Kim , Tse-Hsun , Chen

Large language models (LLMs) are increasingly capable and prevalent, and can be used to produce creative content. The quality of content is influenced by the prompt used, with more specific prompts that incorporate examples generally…

计算与语言 · 计算机科学 2023-08-28 Samuel Rhys Cox , Ashraf Abdul , Wei Tsang Ooi

Large language models offer new ways of empowering people to program robot applications-namely, code generation via prompting. However, the code generated by LLMs is susceptible to errors. This work reports a preliminary exploration that…

机器人学 · 计算机科学 2023-10-11 Juo-Tung Chen , Chien-Ming Huang

Automatic code generation has gained significant momentum with the advent of Large Language Models (LLMs) such as GPT-4. Although many studies focus on improving the effectiveness of LLMs for code generation, very limited work tries to…

软件工程 · 计算机科学 2025-06-02 Melika Sepidband , Hamed Taherkhani , Song Wang , Hadi Hemmati

This paper explores the use of Large Language Models (LLMs) and in particular ChatGPT in programming, source code analysis, and code generation. LLMs and ChatGPT are built using machine learning and artificial intelligence techniques, and…

软件工程 · 计算机科学 2023-06-12 Ahmed R. Sadik , Antonello Ceravola , Frank Joublin , Jibesh Patra

Automated logging statement generation supports developers in documenting critical software runtime behavior. Given the great success in natural language generation and programming language comprehension, large language models (LLMs) might…

软件工程 · 计算机科学 2024-04-02 Yichen Li , Yintong Huo , Zhihan Jiang , Renyi Zhong , Pinjia He , Yuxin Su , Lionel Briand , Michael R. Lyu

Large Language Models (LLMs) are nowadays extensively used for various types of software engineering tasks, primarily code generation. Previous research has shown how suitable prompt engineering could help developers in improving their code…

Although Large Language Models (LLMs) have demonstrated remarkable code-generation ability, they still struggle with complex tasks. In real-world software development, humans usually tackle complex tasks through collaborative teamwork, a…

软件工程 · 计算机科学 2024-05-14 Yihong Dong , Xue Jiang , Zhi Jin , Ge Li

Large Language Models (LLMs) such as ChatGPT and GitHub Copilot have revolutionized automated code generation in software engineering. However, as these models are increasingly utilized for software development, concerns have arisen…

密码学与安全 · 计算机科学 2024-12-03 Ahmad Mohsin , Helge Janicke , Adrian Wood , Iqbal H. Sarker , Leandros Maglaras , Naeem Janjua

Providing effective feedback is important for student learning in programming problem-solving. In this sense, Large Language Models (LLMs) have emerged as potential tools to automate feedback generation. However, their reliability and…

软件工程 · 计算机科学 2025-03-20 Priscylla Silva , Evandro Costa

Large Language Models (LLMs) are becoming integral to modern software development workflows, assisting developers with code generation, API explanation, and iterative problem-solving through natural language conversations. Despite…

软件工程 · 计算机科学 2025-09-15 Suzhen Zhong , Ying Zou , Bram Adams

In this paper, we investigate the use of large language models (LLMs) like ChatGPT for document-grounded response generation in the context of information-seeking dialogues. For evaluation, we use the MultiDoc2Dial corpus of task-oriented…

计算与语言 · 计算机科学 2023-09-22 Norbert Braunschweiler , Rama Doddipatla , Simon Keizer , Svetlana Stoyanchev

Commit messages play a key role in documenting the intent behind code changes. However, they are often low-quality, vague, or incomplete, limiting their usefulness. Commit Message Generation (CMG) aims to automatically generate descriptive…

软件工程 · 计算机科学 2026-04-28 Bo Xiong , Linghao Zhang , Zongen Ren , Chong Wang , Peng Liang

Commit messages explain code changes in a commit and facilitate collaboration among developers. Several commit message generation approaches have been proposed; however, they exhibit limited success in capturing the context of code changes.…

软件工程 · 计算机科学 2024-02-06 Abhinav Reddy Mandli , Saurabhsingh Rajput , Tushar Sharma

Recent breakthroughs in Large Language Models (LLMs), such as GPT-3 and Codex, now enable software developers to generate code based on a natural language prompt. Within computer science education, researchers are exploring the potential…

计算机与社会 · 计算机科学 2022-12-13 Stephen MacNeil , Andrew Tran , Juho Leinonen , Paul Denny , Joanne Kim , Arto Hellas , Seth Bernstein , Sami Sarsa

Large language models (LLMs) struggle to consistently generate UI code that compiles and produces visually relevant designs. Existing approaches to improve generation rely on expensive human feedback or distilling a proprietary model. In…

计算与语言 · 计算机科学 2024-06-13 Jason Wu , Eldon Schoop , Alan Leung , Titus Barik , Jeffrey P. Bigham , Jeffrey Nichols