CDC / RDC · All levels
Reset Deassertion CDC: Reports & Metrics
Reports & Metrics for Reset Deassertion CDC.
Reports and metrics
Reports & Metrics for Reset Deassertion CDC focuses on reset release violations, metastability-on-release risk, boot instability. The goal is to convert issue observations into mechanism-backed closure decisions.
Reports must explain risk movement in reset release violations, metastability-on-release risk, boot instability, not just issue counts. A report is complete only when ownership and closure action are explicit.
Metric movement
METRIC TREND — reset release violations, metastability-on-release risk, boot instability
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 — Reset Deassertion CDC
severity
high | XX X
medium | XXX XX
low | XXX XXX
+----------------------------> ownership readiness
unassigned in-progress closed
Metric focus: reset release violations, metastability-on-release risk, boot instabilityTrack reset release violations, metastability-on-release risk, boot instability 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
Reset release ordering is a first-order reliability contract.
Concept diagram
RESET RELEASE FLOW
assert global -> clocks stable -> sync release per domain -> first transactionMetric graph
BOOT STABILITY
passes per 1k boots: 920 -> 980 -> 999Reports and artifacts
reset dependency matrix
RDC warning classes
boot stress logs
waiver aging
Mini case study
Domain B released before producer A was valid, causing rare startup deadlock.
Debug branches
Correlate reset and clock timelines
verify async assert/sync release
exercise skewed release tests
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.