TY - JOUR
T1 - Large Language Models for qualitative research in software engineering
T2 - exploring opportunities and challenges
AU - Bano, Muneera
AU - Hoda, Rashina
AU - Zowghi, Didar
AU - Treude, Christoph
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2023/12/21
Y1 - 2023/12/21
N2 - 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.
AB - 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.
KW - Large language models
KW - LLMs
KW - Qualitative research
KW - Software engineering
UR - https://www.scopus.com/pages/publications/85180373924
U2 - 10.1007/s10515-023-00407-8
DO - 10.1007/s10515-023-00407-8
M3 - Article
AN - SCOPUS:85180373924
SN - 1573-7535
VL - 31
JO - Automated Software Engineering
JF - Automated Software Engineering
IS - 1
M1 - 8
ER -