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

被引:6
|
作者
Bano, Muneera [1 ]
Hoda, Rashina [2 ]
Zowghi, Didar [1 ]
Treude, Christoph [3 ]
机构
[1] CSIROs Data61, Clayton, Australia
[2] Monash Univ, Melbourne, Australia
[3] Univ Melbourne, Melbourne, Australia
关键词
Large language models; LLMs; Qualitative research; Software engineering;
D O I
10.1007/s10515-023-00407-8
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页数:12
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