Expert Knowledge Rules

Concept

**Expert Knowledge Rules** are reusable, declarative rules used in model-based hardware stimuli generation to encode verification expertise about bug-prone or otherwise important scenarios. They supplement architectural validity rules and user-requested test constraints by biasing generated tests toward scenarios that verification experts believe are valuable to exercise.[c19716ac-d440-4e7a-9df4-14d6adcc779a][4c8e1005-e6b5-4969-b088-83b092cefbf1]

First seen 5/23/2026

Last seen 5/26/2026

Evidence 6 chunks

Wiki v8

WIKI

Expert Knowledge Rules

Expert Knowledge Rules are reusable, declarative rules used in model-based hardware stimuli generation to encode verification expertise about bug-prone or otherwise important scenarios. They supplement architectural validity rules and user-requested test constraints by biasing generated tests toward scenarios that verification experts believe are valuable to exercise.^[1]^[2]

Purpose

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NEIGHBORHOOD

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RELATIONSHIPS

4 connections

Genesys PE ← uses 100% 2e

Genesys PE applies expert knowledge rules to guide stimuli generation.

Constraint-based Random Stimuli Generation ← uses 100% 2e

Expert knowledge rules are a key source of constraints in constraint-based random stimuli generation.

Knowledge Base part of → 100% 2e

The knowledge base contains both architectural descriptions and expert knowledge rules.

Directed Random Stimuli Generation ← uses 85% 1e

Directed random stimuli generation uses expert knowledge to guide the generation of tests.