Researchers at the University of Tennessee, Knoxville, are studying how the research software community uses generative AI in software testing and what factors shape adoption.
| Event Information | Details |
|---|---|
| Event Name | Survey on Generative AI in Research Software Testing |
| Closing Date | December 20, 2026 |
| Website | Participate in the survey |
| Duration | Approximately 20-30 minutes |
Researchers at the University of Tennessee, Knoxville, are seeking input from the research software community about the use of generative artificial intelligence (GenAI) in research software testing. The Software Engineering and Analytics Lab (SAIL), directed by Dr. Nasir Eisty, is conducting the study with research team members Claudia Levi and Samuel Storey.
The survey is open to people with experience in research software development, including research software engineers, scientific software developers, computational scientists, and researchers who develop and test software as part of their research. The first 100 respondents will receive a $20 Visa gift card by email after verification. Providing an email address is optional; addresses are stored separately from survey responses and may also be used to invite respondents to a brief follow-up interview.
The study has been approved by the University of Tennessee, Knoxville Institutional Review Board. For questions about the survey or research project, contact Dr. Nasir Eisty at neisty@utk.edu.
Why your input matters
As GenAI tools become more integrated into software engineering, understanding their use in research software testing can help identify opportunities, challenges, and areas where additional guidance, training, and tooling may be needed. Participants' experiences can contribute to understanding how GenAI may support trustworthy and sustainable research software development.
The research team encourages members of the research software community to participate and share the survey with interested colleagues.
