DFT / ATPG · All levels
Scenario: Coverage Storm: Inputs & Outputs
Inputs & Outputs for Scenario: Coverage Storm.
Inputs and outputs contract
Inputs & Outputs for Scenario: Coverage Storm focuses on coverage shortfall under schedule pressure, pattern growth slope. 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 decisionFlow sequence
DFT FLOW - Scenario: Coverage Storm
scan insertion -> chain stitch -> compression map -> ATPG -> tester apply -> diagnosis
| | | | |
controllability shift balance channel use coverage silicon correlation
Primary metric: coverage shortfall under schedule pressure, pattern growth slopeOwnership map
OWNERSHIP MAP - Scenario: Coverage Storm
artifact owner
---------------- -----------------
architecture/report ATPG owner
constraints/setup DFT lead
physical/test product quality owner
Name an owner for each failing metric cluster.DFT deep dive
Senior DFT interviews test tradeoff judgment under imperfect data.
Concept diagram
INTERVIEW ANSWER LOOP
state metric -> explain mechanism -> request evidence -> propose fix -> list regressionMetric graph
ANSWER QUALITY
mechanism clarity + ownership clarity + regression disciplineReports and artifacts
whiteboard rubric
scenario scorecard
trap checklist
follow-up depth index
Mini case study
Candidate improved from tool-only answers to mechanism-first narratives by using metric->artifact->decision template.
Debug branches
Always state assumptions
Name cross-team owners
Discuss risk and fallback plan
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
Coverage crises require separating true untestable faults from constraint/model issues and choosing the smallest high-impact closure plan.
Metric: coverage shortfall under schedule pressure, pattern growth slope