Generative AI has entered research programming, yet there is little evidence about which tasks researchers hand to it or how they decide whether its code is correct. We draw on 527 free-text responses to a 2025 survey of researchers who write code, most of them at U.S. universities. In each response, a researcher recou...
Gabrielle O'Brien, Reed Milewicz, Nasir U. Eisty· 0 citations
The results show that RSEs most often improved code review by using pull requests, defining review expectations, adding lightweight process steps, and using tools and automation to reduce effort and increase consistency.
Md. Ariful Islam Malik, Jeffrey C. Carver, Nasir U. Eisty· Practice and Experience in A...· 0 citations
No detectable linear relationship exists between requirement properties and oracle accuracy in this dataset, suggesting that pretraining coverage and the semantic specificity of the required behavior dominate oracle correctness.
Tiancheng Ma, Nasir U. Eisty· arXiv.org· 0 citations
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