Regression Test Stimulus Isolation
Concept**Regression Test Stimulus Isolation** is a technique in simulation-based processor verification for identifying a small subset of generated stimuli that achieves high functional coverage and can therefore be reused in regression testing. The concept appears in work on automating processor verification using recurrent neural networks, where coverage feedback from simulation is used to guide pseudorandom stimulus generation and to isolate compact, high-value stimulus sets.[^994827fa]
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Regression Test Stimulus Isolation
Regression Test Stimulus Isolation is a technique in simulation-based processor verification for identifying a small subset of generated stimuli that achieves high functional coverage and can therefore be reused in regression testing. The concept appears in work on automating processor verification using recurrent neural networks, where coverage feedback from simulation is used to guide pseudorandom stimulus generation and to isolate compact, high-value stimulus sets.[1]
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