Biased-Random Test Generation
ConceptBiased-random test generation is a simulation-based validation technique used in industrial processor verification in which test programs are generated at the instruction set architecture (ISA) level with non-uniform (biased) instruction/value distributions, rather than purely random or fully directed stimuli. It is widely employed because it can exercise many scenarios quickly in pre-silicon simulation, but it has known limitations when used to activate intricate micro-architectural artifacts such as pipeline interactions and detailed timing behavior.
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Biased-Random Test Generation
Definition
Biased-random test generation refers to simulation-based functional validation techniques in which large numbers of test programs are generated at the instruction set architecture (ISA) level using non-uniform, weighted distributions over instructions, operands, and sequences. It sits between purely random test generation (uniform distributions) and directed test generation (manually crafted programs targeting specific scenarios). [1]
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