Can AI serve as a substitute for human subjects in software engineering research?

Research within sociotechnical domains, such as software engineering, fundamentally requires the human perspective. Nevertheless, traditional qualitative data collection methods suffer from difficulties in participant recruitment, scaling, and labor intensity. This vision paper proposes a novel appr...

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Bibliographic Details
Published in:	Automated software engineering Vol. 31; no. 1; p. 13
Main Authors:	Gerosa, Marco, Trinkenreich, Bianca, Steinmacher, Igor, Sarma, Anita
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.05.2024 Springer Nature B.V
Subjects:	Artificial Intelligence Automation Collaboration Computer Science Data collection Documentation Engineering research Focus groups Human factors research Human subjects Interviews Language Large language models Qualitative analysis Qualitative research Researchers Software engineering Software Engineering/Programming and Operating Systems Women Qualitative research Foundation models Large language models Software engineering
ISSN:	0928-8910, 1573-7535
Online Access:	Get full text
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