Lamine Rihani

Reverse N-Wise Output-Oriented Testing for AI/ML and Quantum Computing Systems

R reverse n-wise output testing is introduced, a mathematically principled paradigm inversion that constructs covering arrays directly over domain-specific output equivalence classes, ML confidence calibration buckets, decision boundary regions, fairness partitions, embedding clusters, ranking stability bands, and error syndrome patterns.