AI Planning Algorithm Synthesis
ConceptAI Planning Algorithm Synthesis is a test generation methodology that uses automated planning algorithms to synthesize verification stimulus for complex designs. In the RISC-V verification context, Breker Verification Systems positions this approach as an alternative or complement to Constrained Random Verification for tackling core and SoC verification challenges.
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AI Planning Algorithm Synthesis
Overview
AI Planning Algorithm Synthesis is an automated test generation methodology in which AI-based planning algorithms are used to synthesize stimulus for functional verification. Rather than relying solely on random or constrained-random stimulus, planning algorithms construct test sequences that exercise specific scenarios, coverage targets, or system-level behaviors in a directed fashion.
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