CDC / RDC · All levels
CDC Signoff Dashboard: Comparison Matrix
Comparison Matrix for CDC Signoff Dashboard.
Comparison matrix
Aggressive waivers reduce schedule pressure but increase silicon risk.
+------------------+----------------+----------------+----------------+
| Approach | Strength | Weakness | Best when |
+------------------+----------------+----------------+----------------+
| Conservative | safe | extra latency | high-risk crossings |
| Balanced | practical | more setup | most production paths |
| Aggressive | fast schedule | escape risk | late-stage crunch |
| Refactor | structural gain | long cycle | recurring failures |
+------------------+----------------+----------------+----------------+When to choose each approach
Select approach by silicon risk, not only schedule urgency
Interview traps
Global waiver spray
Unproven protocol assumptions
Evidence comparison
CDC/RDC EVIDENCE MATRIX — CDC Signoff Dashboard
+-----------------------+----------------------------+----------------------------+---------------------------+
| Evidence | Tells you | Does not prove | Next action |
+-----------------------+----------------------------+----------------------------+---------------------------+
| structural report | crossing topology class | protocol liveness | add assertions/formal |
| reset map | release dependencies | dynamic startup behavior | run reset stress tests |
| formal proof | bounded safety/liveness | real firmware sequence | correlate with simulation |
| simulation stress | observed mode behavior | full state-space closure | target unhit corners |
| waiver log | accepted residual risk | technical correctness | periodic revalidation |
+-----------------------+----------------------------+----------------------------+---------------------------+CDC/RDC deep dive
Signoff is an evidence governance problem across teams.
Concept diagram
CDC SIGNOFF LOOP
analysis -> triage -> fix/waive -> review gate -> dashboardMetric graph
CRITICAL OPEN COUNT
week1 34
week2 22
week3 10
week4 0Reports and artifacts
critical by owner
waiver quality
review gate status
closure trend
Mini case study
Pass rates improved while critical waivers aged out of policy; dashboard exposed hidden risk.
Debug branches
Separate quality from quantity metrics
enforce waiver expiry
run gate checklists consistently
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.
Principal CDC/RDC review addendum
Dashboarding translates thousands of crossings into actionable closure metrics by severity, block, owner, and risk state.
Metric: critical violations trend, closure burn-down, owner SLA adherence