Release review: handoff issue count, late-stage DFT ECO volume, closure turnaround regresses after a test-flow update touching DFT-PD Handoff.
Team had prior signoff, then a new program/config introduced regressions in selected buckets.
handoff issue count, late-stage DFT ECO volume, closure turnaround regression
Mismatch between simulation and tester
Escalation without clear owner
Hour 0: freeze pattern set, constraints, and tester program tags
Hour 1: isolate first failing bucket by mode/lot
Hour 2: verify legality and constraints assumptions
Hour 3: correlate with physical/timing/power context
Hour 4: choose minimal reversible fix
Hour 5: run full signoff regression matrix
Hour 6: publish decision memo and owners
Root cause tied to DFT-PD Handoff: Clear DFT-to-PD contracts for chain rules, test clocks, and legal placement constraints prevent expensive late-stage churn.
Apply bounded fix with owner
Re-run handoff checklist, chain constraint package, ownership matrix
Re-validate quality, timing, and test power
Tag every run artifact
Mechanism first, command second
Close with explicit release decision
CASE STUDY - DFT-PD Handoff
baseline metric / regressed metric / post-fix metricDFT FLOW - DFT-PD Handoff
scan insertion -> chain stitch -> compression map -> ATPG -> tester apply -> diagnosis
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controllability shift balance channel use coverage silicon correlation
Primary metric: handoff issue count, late-stage DFT ECO volume, closure turnaroundPhysical integration quality decides whether DFT architecture survives implementation realities.
PHYSICAL DFT FLOW
chain planning -> floorplan placement -> route -> test timing/power validationROUTING BURDEN
poor chain order -> longer routes -> more hold buffersscan physical wirelength
congestion heatmap
test clock skew
handoff issue tracker
Late scan reorder reduced route detours and eliminated a major shift hold cluster before signoff.
Correlate chain order with congestion
Place compression logic near chain clusters
Keep DFT-PD handoff versioned
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.
Clear DFT-to-PD contracts for chain rules, test clocks, and legal placement constraints prevent expensive late-stage churn.
Metric: handoff issue count, late-stage DFT ECO volume, closure turnaround
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