Review Checklist for Pattern Volume Tradeoffs focuses on pattern count, tester memory usage, test application time. The goal is to convert metric movement into mechanism, owner, and release decision.
Run tags and scenario context are explicit.
Constraints and legality assumptions are documented.
Quality, timing, and test-power checks are included.
Diagnosis evidence supports residual-risk decision.
Owners signed: ATPG owner, ATE owner, DFT lead.
OWNERSHIP MAP - Pattern Volume Tradeoffs
artifact owner
---------------- -----------------
architecture/report ATPG owner
constraints/setup ATE owner
physical/test DFT lead
Name an owner for each failing metric cluster.Compression saves tester time only when diagnosis observability remains credible.
COMPRESSION LOOP
EDT/decompressor -> compressed patterns -> compactor responses -> diagnosisPATTERN vs COVERAGE
coverage up -> pattern count up
compression up -> pattern count down (until aliasing risk)compression ratio dashboard
pattern count trend
X-source report
diagnosis bucket summary
Compactor overflow plus unknown inflation caused false diagnosis; masking policy and channel map corrected.
Separate X issues from silicon defects
Replay failing patterns uncompressed
Track tester memory 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.
Pattern volume is a tradeoff between coverage closure aggressiveness, X-handling policy, and compression settings constrained by tester resources.
Metric: pattern count, tester memory usage, test application time
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