REAG and a confidence-calibrated cascade generate context-aware test oracles for LLM-based software and produce statistically controlled verdict reliability, demonstrated on a production nutrition advisory app.
Antonelli, Mariángeles Hozikian, G
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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software
REAG and a confidence-calibrated cascade generate context-aware test oracles for LLM-based software and produce statistically controlled verdict reliability, demonstrated on a production nutrition advisory app.