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Fuzzy-based security requirements quality assessing: Comparison of security experts and generative AI | Synapse
March 3, 2026
Fuzzy-based security requirements quality assessing: Comparison of security experts and generative AI
AS
Asta Slotkienė
Vilnius University
JM
Jolanta Miliauskaitė
Vilnius Gediminas Technical University
RK
Rasa Karbauskaitė
Puntos clave
Quality assessment of security requirements reveals differing interpretations between human experts and AI.
Security experts scored 15% higher than generative AI on average in assessing security requirements.
Fuzzy logic-based framework was utilized for evaluating the quality of security assessments provided by both parties.
The findings highlight the potential need for integrating human oversight in AI-driven assessments to enhance reliability.
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Slotkienė et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75d32c6e9836116a26d5b
https://doi.org/https://doi.org/10.1016/j.csi.2026.104137
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