Publication Type
Journal Article
Version
publishedVersion
Publication Date
5-2024
Abstract
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.
Keywords
Large language models, LLMs, Qualitative research, Software engineering
Discipline
Programming Languages and Compilers | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
Automated Software Engineering
Volume
31
Issue
1
First Page
1
Last Page
12
ISSN
0928-8910
Identifier
10.1007/s10515-023-00407-8
Publisher
Springer
Citation
BANO, Muneera; HODA, Rashina; ZOWGHI, Didar; and TREUDE, Christoph.
Large language models for qualitative research in software engineering: exploring opportunities and challenges. (2024). Automated Software Engineering. 31, (1), 1-12.
Available at: https://ink.library.smu.edu.sg/sis_research/8761
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/s10515-023-00407-8