Formal Verification · All levels
Formal Verification Foundations
Core foundations of formal property verification: exhaustive proof versus simulation, safety and liveness property design, cone-of-influence reduction, and practical FPV tool-flow setup with sound constraints and convergence strategy.
Section goal
Core foundations of formal property verification: exhaustive proof versus simulation, safety and liveness property design, cone-of-influence reduction, and practical FPV tool-flow setup with sound constraints and convergence strategy.
How to study this section
Start with each topic hub and restate the requirement intent in your own words.
Use reports and debug pages to classify first divergence accurately.
Practice worked examples and interview drills with fixed run metadata.
Close with checklist and residual-risk framing before signoff claims.
Topics
formal-vs-simulation/ - Formal vs Simulation: Exhaustive Proof and Stimulus-Based Search
properties-and-assertions/ - Properties and Assertions: Safety, Liveness, and Sound Modeling
cone-of-influence/ - Cone of Influence (COI): State-Space Reduction with Intent Preservation
formal-tool-flow/ - Typical FPV Tool Flow: Setup, Constraints, Run, Debug, and Closure
Related topics
Formal deep dive
FPV foundations are reliable only when assumptions, reset semantics, and requirement intent are explicitly modeled and audited.
Concept diagram
FPV FOUNDATION LOOP
requirements -> property set -> assumptions and reset model -> prove/fail traces -> closure auditMetric graph
FOUNDATION HEALTH
vacuous passes ████
reachable proofs ███████
inconclusive backlog █████
reopened properties ███Metrics and artifacts to collect
assumption traceability matrix
vacuity and reachability status
proof core relevance summary
counterexample classification trend
Mini case study
A green-looking run was invalidated after legal-mode covers failed, exposing assumptions that removed realistic traffic.
Debug branches
Validate requirement-to-property mapping before tuning runtime.
Check legal scenario reachability after every assumption change.
Classify first divergence as model issue or RTL bug.
Senior review question
Ask: which requirement intent is proven, under which assumptions, and what residual risk remains?