CDC / RDC · All levels
CDC Protocol Verification: Reports & Metrics
Reports & Metrics for CDC Protocol Verification.
Reports and metrics
Reports & Metrics for CDC Protocol Verification focuses on assertion pass rate, liveness coverage, CDC protocol bug escape rate. The goal is to convert issue observations into mechanism-backed closure decisions.
Reports must explain risk movement in assertion pass rate, liveness coverage, CDC protocol bug escape rate, not just issue counts. A report is complete only when ownership and closure action are explicit.
Metric movement
METRIC TREND — assertion pass rate, liveness coverage, CDC protocol bug escape rate
critical open issues
^
| target (0 critical)
| - - - - - - - - - -
| o post triage
| o initial run
| o baseline
+--------------------------------------> review iteration
Always pair count trend with evidence quality trend.Risk distribution
RISK HEATMAP — CDC Protocol Verification
severity
high | XX X
medium | XXX XX
low | XXX XXX
+----------------------------> ownership readiness
unassigned in-progress closed
Metric focus: assertion pass rate, liveness coverage, CDC protocol bug escape rateTrack assertion pass rate, liveness coverage, CDC protocol bug escape rate by block, mode, and severity.
Separate structural warnings from behavior-proven hazards.
Show waiver age and owner SLA alongside raw counts.
Store evidence links with each closure claim.
CDC/RDC deep dive
Protocol correctness is the bridge between structural clean and functional safe.
Concept diagram
PROTOCOL FLOW
intent -> transport protocol -> synchronization -> destination acceptanceMetric graph
PROTOCOL ISSUE BURNDOWN
open issues: 20 -> 11 -> 5 -> 0Reports and artifacts
FIFO pointer proofs
req/ack liveness
pulse miss checks
protocol assertions
Mini case study
Async FIFO empty/full logic looked correct until gray decode mismatch appeared during reset overlap.
Debug branches
Pointer sync audit
formal liveness checks
reset interaction review
Senior review question
Ask: what evidence proves this risk is closed for silicon, not just tool-clean?
Key takeaways
State crossing class, assumptions, and owner with every issue.
Run structural and dynamic regressions after each fix.
Common pitfalls
Treating all warnings as equivalent risk.
Waiving issues without containment evidence.
Skipping reset and reconvergence stress after CDC fixes.