DFT / ATPG · All levels
LBIST Overview: Worked Example
Worked Example for LBIST Overview.
Worked example
Worked Example for LBIST Overview focuses on LBIST signature quality, random-pattern-resistant fault count, runtime budget. The goal is to convert metric movement into mechanism, owner, and release decision.
A release review shows regression on LBIST signature quality, random-pattern-resistant fault count, runtime budget. The strongest first move is to freeze evidence, isolate one failing bucket, and prove mechanism before changing flow knobs.
Sequence under inspection
DFT FLOW - LBIST Overview
scan insertion -> chain stitch -> compression map -> ATPG -> tester apply -> diagnosis
| | | | |
controllability shift balance channel use coverage silicon correlation
Primary metric: LBIST signature quality, random-pattern-resistant fault count, runtime budgetLBIST data path
PRPG -> logic under test -> MISR
pros: in-system test, no heavy tester channels
risk: random-pattern-resistant faultsCapture failing report and exact run tags.
Tag scenario (mode, lot/corner, pattern class).
Trace first dependency that changed.
Compare against LBIST architecture doc, MISR signature report, resistant fault list.
Choose one reversible fix and predefine regression checks.
Did the fix work?
BEFORE / AFTER - LBIST Overview
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
BIST value is realized only when insertion, diagnosis, and repair are tied to production flow.
Concept diagram
BIST FLOW
insert MBIST/LBIST -> execute -> collect signatures -> diagnose/repair -> signoffMetric graph
REPAIR EFFECT
yield
^
| o pre-repair
| o post-repair
+---------------------> lotReports and artifacts
MBIST insertion coverage
repair signature report
LBIST resistant fault list
BIST release checklist
Mini case study
Fuse programming mismatch blocked repair activation; corrected bring-up script recovered expected yield uplift.
Debug branches
Validate BIST reachability
Correlate fail maps to repair signatures
Audit in-field boot test 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
LBIST uses on-chip pattern generation and signature compression for in-system logic test where external ATPG access is limited.
Metric: LBIST signature quality, random-pattern-resistant fault count, runtime budget