DFT / ATPG · All levels
DFT-PD Handoff: Debug Playbook
Debug Playbook for DFT-PD Handoff.
Debug playbook
Debug Playbook for DFT-PD Handoff focuses on handoff issue count, late-stage DFT ECO volume, closure turnaround. The goal is to convert metric movement into mechanism, owner, and release decision.
Debug aims to find the first incorrect assumption, not the loudest downstream symptom. Start with reproducibility and ownership.
Root-cause tree
ROOT-CAUSE TREE - DFT-PD Handoff
handoff issue count, late-stage DFT ECO volume, closure turnaround regresses
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setup changed?
/ \
yes no
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constraint silicon or
or ATPG physical/test path
/ \ |
SDC model chain/clock/power/diagnosis
diff diff isolate first failing signatureFreeze run tags for patterns, constraints, and tester setup.
Isolate first failing metric bucket and scenario.
Classify failure source: model, constraints, physical, or silicon.
Prove mechanism with one reduced replay or targeted run.
Apply smallest owner-controlled fix.
Re-run timing, power, and quality regression matrix.
Review memo template
STAFF DFT REVIEW MEMO - DFT Physical Integration / DFT-PD Handoff
1. Symptom
- Watched metric: handoff issue count, late-stage DFT ECO volume, closure turnaround
- Failing scenario: <mode/lot/corner/program>
- Pattern class: <scan/transition/compressed/BIST/JTAG>
- Tags: <constraints, patterns, tester program, netlist>
2. Mechanism hypothesis
- Primary mechanism: Clear DFT-to-PD contracts for chain rules, test clocks, and legal placement constraints prevent expensive late-stage churn.
- Competing hypothesis: <constraint issue, model issue, physical issue, silicon issue>
- Missing evidence: <report, replay, diagnosis trace>
3. Proposed action
- Minimal reversible change: <constraint fix, architecture tweak, pattern update>
- Expected metric movement: <delta>
- Regression risk: timing, power, quality, schedule
4. Signoff
- Re-run artifact: handoff checklist, chain constraint package, ownership matrix
- Required owners: DFT lead, PD lead, program manager
- Final decision: release, waive, rollback, or escalateDFT deep dive
Physical integration quality decides whether DFT architecture survives implementation realities.
Concept diagram
PHYSICAL DFT FLOW
chain planning -> floorplan placement -> route -> test timing/power validationMetric graph
ROUTING BURDEN
poor chain order -> longer routes -> more hold buffersReports and artifacts
scan physical wirelength
congestion heatmap
test clock skew
handoff issue tracker
Mini case study
Late scan reorder reduced route detours and eliminated a major shift hold cluster before signoff.
Debug branches
Correlate chain order with congestion
Place compression logic near chain clusters
Keep DFT-PD handoff versioned
Senior review question
Ask: what evidence proves this DFT decision is safe for production?
Key takeaways
State metric, lot/corner context, and pattern tag with every claim.
Treat timing, power, and quality as one signoff problem.
Common pitfalls
Chasing coverage without legality checks.
Ignoring test-power side effects of pattern changes.
Debugging silicon without reproducible tags.
Principal DFT review addendum
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