DFT / ATPG · All levels
Physical DFT Debug: Worked Example
Worked Example for Physical DFT Debug.
Worked example
Worked Example 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.
A release review shows regression on physical root-cause turnaround, repeat DFT route violations, signoff escape risk. The strongest first move is to freeze evidence, isolate one failing bucket, and prove mechanism before changing flow knobs.
Sequence under inspection
DFT FLOW - Physical DFT Debug
scan insertion -> chain stitch -> compression map -> ATPG -> tester apply -> diagnosis
| | | | |
controllability shift balance channel use coverage silicon correlation
Primary metric: physical root-cause turnaround, repeat DFT route violations, signoff escape riskPhysical DFT flow
chain planning -> floorplan -> route/timing debug -> closureCapture failing report and exact run tags.
Tag scenario (mode, lot/corner, pattern class).
Trace first dependency that changed.
Compare against physical debug log, failing path snapshots, fix validation report.
Choose one reversible fix and predefine regression checks.
Did the fix work?
BEFORE / AFTER - Physical DFT Debug
metric quality
^
| --- release target
| o regressed
| o baseline
| o after fix
+-------------------------------> closure iteration
Prove quality, timing, and test-power all moved safely.DFT 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
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