**Stimulus distribution and biasing** is a constrained-random verification technique used to control the mix of generated test stimuli, such as microprocessor instructions, opcodes, operands, and instruction attributes. In microprocessor verification, it helps random test generators efficiently cover meaningful stimulus values while biasing generation toward important scenarios and corner cases.[^1]

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