SVA Sequences and Properties: Design Space

Design space exploration

For SVA Sequences and Properties, teams balance model realism, convergence, and signoff risk.

Option A - conservative

• Conservative modeling: helps high soundness

• Risk: slower closure

• Validate with: high-risk interfaces

Option B - balanced

• Balanced setup: helps good throughput

• Risk: needs strict review

• Validate with: daily CI operations

Option C - aggressive

• Aggressive abstraction: helps runtime reduction

• Risk: higher misuse risk

• Validate with: expert-owned proof clusters

Option D - refactor

• Refactor properties: helps better debug isolation

• Risk: initial migration cost

• Validate with: stalled convergence buckets

DESIGN SPACE - SVA Sequences and Properties
model realism <-> convergence speed <-> debug clarity <-> signoff confidence

Design pitfalls

• Trading away legal behavior for runtime without documenting risk.

• Combining abstraction and assumption changes in one uncontrolled step.

Formal deep dive

SVA scales when temporal intent, clock sampling, and reset gating are precise enough to be replayed and reviewed.

Concept diagram

SVA INTENT CHAIN

timing contract -> sequence composition -> property implication -> sampled failure trace

Metric graph

ASSERTION QUALITY SIGNALS

non-vacuous hit rate    ████████
clock/reset mismatches  ████
false-positive churn    ███

Metrics and artifacts to collect

• assertion trigger hit-rate

• implication timing mismatch bucket

• reset-window noise ratio

• assertion decomposition quality score

Mini case study

A protocol failure vanished after correcting `|->` vs `|=>` semantics and reset masking boundaries.

Debug branches

• Confirm antecedent trigger at sampled clock edges.

• Verify implication operator matches protocol timing contract.

• Split monolithic properties into stage-local checks.

Senior review question

Ask: which requirement intent is proven, under which assumptions, and what residual risk remains?

Key takeaways

• Tie each proof claim to assumption boundaries and reachability evidence.

• Prefer minimal reversible fixes and preserve legal behavior visibility.

Common pitfalls

• Treating runtime reduction as proof-quality improvement without audits.

• Declaring closure while critical covers remain unreachable.

• Using broad waivers instead of first-divergence root-cause ownership.

Principal formal review addendum

SVA Sequences and Properties should be reviewed as a requirement-evidence workflow, not a single status report.

Use non-vacuous closure rate, counterexample turnaround time, and requirement-level residual risk trend as the monitoring lens and formal closure packet: assumptions audit, proof status matrix, counterexample classification, and requirement traceability as closure proof.

SVA quality comes from temporal precision, correct sampling semantics, and disciplined vacuity control. Strong teams preserve legal reachability while improving convergence.