DFT / ATPG · All levels
Compression Architectures: Review Checklist
Review Checklist for Compression Architectures.
Review checklist
Review Checklist for Compression Architectures focuses on compression ratio, decompressor channel utilization, aliasing risk. 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: DFT architect, ATPG owner, test engineering owner.
Signoff ownership
OWNERSHIP MAP - Compression Architectures
artifact owner
---------------- -----------------
architecture/report DFT architect
constraints/setup ATPG owner
physical/test test engineering owner
Name an owner for each failing metric cluster.DFT deep dive
Compression saves tester time only when diagnosis observability remains credible.
Concept diagram
COMPRESSION LOOP
EDT/decompressor -> compressed patterns -> compactor responses -> diagnosisMetric graph
PATTERN vs COVERAGE
coverage up -> pattern count up
compression up -> pattern count down (until aliasing risk)Reports and artifacts
compression ratio dashboard
pattern count trend
X-source report
diagnosis bucket summary
Mini case study
Compactor overflow plus unknown inflation caused false diagnosis; masking policy and channel map corrected.
Debug branches
Separate X issues from silicon defects
Replay failing patterns uncompressed
Track tester memory budget
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
Compression inserts on-chip decompressors/compactors to reduce external tester pattern volume while preserving defect detection quality.
Metric: compression ratio, decompressor channel utilization, aliasing risk