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

• Main Authors: BANO, Muneera, HODA, Rashina, ZOWGHI, Didar, TREUDE, Christoph
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Large language models; LLMs; Qualitative research; Software engineering; Programming Languages and Compilers; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8761; https://ink.library.smu.edu.sg/context/sis_research/article/9764/viewcontent/hoda.pdf
• Institution: Singapore Management University

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.