Use when you own Scenario: Coverage Storm in a DFT closure review.
Open release criteria and failing metric dashboard.
Partition failures by pattern family and operating context.
Inspect constraints, clocks, masks, and unknown handling.
Check architecture assumptions against implementation reality.
Review diagnosis evidence for repeatability.
Assign owner and propose smallest high-confidence change.
Run timing, power, and quality regressions.
Capture final signoff or waiver decision.
coverage gap snapshot, fault bucket analysis, closure plan
pattern tag manifest
tester program revision
signoff checklist
owner tracker
DFT DECISION MEMO - Scenario: Coverage Storm
scenario:
metric:
hypothesis:
fix:
regression:
owners: ATPG owner, DFT lead, product quality ownercoverage gap
-> untestable? constraint? model?
-> targeted fixes
-> pattern budget checkSenior DFT interviews test tradeoff judgment under imperfect data.
INTERVIEW ANSWER LOOP
state metric -> explain mechanism -> request evidence -> propose fix -> list regressionANSWER QUALITY
mechanism clarity + ownership clarity + regression disciplinewhiteboard rubric
scenario scorecard
trap checklist
follow-up depth index
Candidate improved from tool-only answers to mechanism-first narratives by using metric->artifact->decision template.
Always state assumptions
Name cross-team owners
Discuss risk and fallback plan
Ask: what evidence proves this DFT decision is safe for production?
State metric, lot/corner context, and pattern tag with every claim.
Treat timing, power, and quality as one signoff problem.
Chasing coverage without legality checks.
Ignoring test-power side effects of pattern changes.
Debugging silicon without reproducible tags.
Coverage crises require separating true untestable faults from constraint/model issues and choosing the smallest high-impact closure plan.
Metric: coverage shortfall under schedule pressure, pattern growth slope
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