DFT / ATPG · All levels

Physical DFT Debug: Debug Playbook

Debug Playbook for Physical DFT Debug.

Debug playbook

Debug Playbook for Physical DFT Debug focuses on physical root-cause turnaround, repeat DFT route violations, signoff escape risk. 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

diagram
ROOT-CAUSE TREE - Physical DFT Debug

physical root-cause turnaround, repeat DFT route violations, signoff escape risk regresses
        |
  setup changed?
    /        \
  yes         no
  |            |
constraint    silicon or
or ATPG       physical/test path
 /    \          |
SDC   model    chain/clock/power/diagnosis
diff  diff     isolate first failing signature
  1. Freeze run tags for patterns, constraints, and tester setup.

  2. Isolate first failing metric bucket and scenario.

  3. Classify failure source: model, constraints, physical, or silicon.

  4. Prove mechanism with one reduced replay or targeted run.

  5. Apply smallest owner-controlled fix.

  6. Re-run timing, power, and quality regression matrix.

Review memo template

diagram
STAFF DFT REVIEW MEMO - DFT Physical Integration / Physical DFT Debug

1. Symptom
   - Watched metric: physical root-cause turnaround, repeat DFT route violations, signoff escape risk
   - Failing scenario: <mode/lot/corner/program>
   - Pattern class: <scan/transition/compressed/BIST/JTAG>
   - Tags: <constraints, patterns, tester program, netlist>

2. Mechanism hypothesis
   - Primary mechanism: Physical DFT debug traces violations to chain ordering, buffering strategy, clock topology, or extraction/view mismatches.
   - 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: physical debug log, failing path snapshots, fix validation report
   - Required owners: PD owner, STA owner, DFT owner
   - Final decision: release, waive, rollback, or escalate

DFT deep dive

Physical integration quality decides whether DFT architecture survives implementation realities.

Concept diagram

diagram
PHYSICAL DFT FLOW

chain planning -> floorplan placement -> route -> test timing/power validation

Metric graph

diagram
ROUTING BURDEN

poor chain order -> longer routes -> more hold buffers

Reports 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

Physical DFT debug traces violations to chain ordering, buffering strategy, clock topology, or extraction/view mismatches.

Metric: physical root-cause turnaround, repeat DFT route violations, signoff escape risk