Inputs & Outputs for Fault Models focuses on stuck-at / transition / bridge coverage, untestable fault ratio. The goal is to convert metric movement into mechanism, owner, and release decision.
Treat these as a release contract. Ambiguity here creates expensive debug loops because teams optimize against different assumptions.
INPUTS
- scan/ATPG architecture and constraints
- fault model and quality target policy
- pattern generation config + tester limits
- timing/power/physical assumptions
OUTPUTS
- quality metrics and closure status
- signed artifacts and owner approvals
- diagnosis evidence for residual risk
- release, waiver, or escalation decisionDFT FLOW - Fault Models
scan insertion -> chain stitch -> compression map -> ATPG -> tester apply -> diagnosis
| | | | |
controllability shift balance channel use coverage silicon correlation
Primary metric: stuck-at / transition / bridge coverage, untestable fault ratioOWNERSHIP MAP - Fault Models
artifact owner
---------------- -----------------
architecture/report ATPG owner
constraints/setup DFT architect
physical/test quality owner
Name an owner for each failing metric cluster.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.
Fault models define what manufacturing defects ATPG targets; model mix drives pattern count, runtime, and outgoing quality.
Metric: stuck-at / transition / bridge coverage, untestable fault ratio
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