Worked Example for ATPG Constraints focuses on constraint consistency errors, illegal state count, pattern abort rate. The goal is to convert metric movement into mechanism, owner, and release decision.
A release review shows regression on constraint consistency errors, illegal state count, pattern abort rate. The strongest first move is to freeze evidence, isolate one failing bucket, and prove mechanism before changing flow knobs.
DFT FLOW - ATPG Constraints
scan insertion -> chain stitch -> compression map -> ATPG -> tester apply -> diagnosis
| | | | |
controllability shift balance channel use coverage silicon correlation
Primary metric: constraint consistency errors, illegal state count, pattern abort rateconstraints define legal test states:
clocks + resets + masks + test enables + safe unknown handling
invalid envelope -> great-looking but unusable patterns.Capture failing report and exact run tags.
Tag scenario (mode, lot/corner, pattern class).
Trace first dependency that changed.
Compare against ATPG constraint file, legality checker log, constraint diff report.
Choose one reversible fix and predefine regression checks.
BEFORE / AFTER - ATPG Constraints
metric quality
^
| --- release target
| o regressed
| o baseline
| o after fix
+-------------------------------> closure iteration
Prove quality, timing, and test-power all moved safely.ATPG quality comes from fault model choice plus legal constraints, not raw pattern volume alone.
ATPG FLOW
fault model -> constraints -> generation -> simulation -> coverage closure -> signoffCOVERAGE GAP
target coverage
^
| o before closure
| o after fixes
+---------------------> iterationfault model coverage
untestable class report
constraint legality errors
pattern signoff memo
Transition coverage stalled due to clock constraints mismatch; updated at-speed capture definitions recovered target.
Classify untestable faults
Diff ATPG constraints each run
Pair coverage with pattern budget
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.
ATPG constraints encode legal test-mode behavior, clocks, resets, and masks so generated patterns are both executable and meaningful.
Metric: constraint consistency errors, illegal state count, pattern abort rate
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