用于软件工程定性研究的大型语言模型：探索机遇与挑战

IF 2 2区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Automated Software Engineering Pub Date : 2023-12-21 DOI:10.1007/s10515-023-00407-8

Muneera Bano, Rashina Hoda, Didar Zowghi, Christoph Treude

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引用次数: 0

摘要

最近，像 ChatGPT 这样的大型语言模型（LLMs）在软件工程定性研究中的应用激增，就像在其他专业领域一样，这需要我们进行更仔细的研究。本愿景论文旨在探索在定性研究中使用 LLMs 的机遇，以解决许多遗留的挑战，以及使用 LLMs 可能带来的新问题和隐患。我们分享了我们对定性研究人员在法学硕士时代不断演变的角色的愿景，并思考了他们如何在研究经历的各个阶段利用法学硕士。

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Large language models for qualitative research in software engineering: exploring opportunities and challenges

The recent surge in the integration of Large Language Models (LLMs) like ChatGPT into qualitative research in software engineering, much like in other professional domains, demands a closer inspection. This vision paper seeks to explore the opportunities of using LLMs in qualitative research to address many of its legacy challenges as well as potential new concerns and pitfalls arising from the use of LLMs. We share our vision for the evolving role of the qualitative researcher in the age of LLMs and contemplate how they may utilize LLMs at various stages of their research experience.

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来源期刊

Automated Software Engineering 工程技术-计算机：软件工程

CiteScore

4.80

自引率

11.80%

发文量

审稿时长

>12 weeks

期刊介绍： This journal details research, tutorial papers, survey and accounts of significant industrial experience in the foundations, techniques, tools and applications of automated software engineering technology. This includes the study of techniques for constructing, understanding, adapting, and modeling software artifacts and processes. Coverage in Automated Software Engineering examines both automatic systems and collaborative systems as well as computational models of human software engineering activities. In addition, it presents knowledge representations and artificial intelligence techniques applicable to automated software engineering, and formal techniques that support or provide theoretical foundations. The journal also includes reviews of books, software, conferences and workshops.