DFT / ATPG · All levels

Test Logic Floorplan: Debug Playbook

Debug Playbook for Test Logic Floorplan.

Debug playbook

Debug Playbook for Test Logic Floorplan focuses on compression logic placement quality, test route detours, floorplan DFT ECO count. 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 - Test Logic Floorplan

compression logic placement quality, test route detours, floorplan DFT ECO count 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 / Test Logic Floorplan

1. Symptom
   - Watched metric: compression logic placement quality, test route detours, floorplan DFT ECO count
   - Failing scenario: <mode/lot/corner/program>
   - Pattern class: <scan/transition/compressed/BIST/JTAG>
   - Tags: <constraints, patterns, tester program, netlist>

2. Mechanism hypothesis
   - Primary mechanism: Placement of decompressors, compactors, and BIST controllers impacts routing quality, clocking, and timing closure effort.
   - 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: test logic floorplan review, placement snapshots, routing detour report
   - Required owners: PD owner, DFT owner, CTS 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

Placement of decompressors, compactors, and BIST controllers impacts routing quality, clocking, and timing closure effort.

Metric: compression logic placement quality, test route detours, floorplan DFT ECO count