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.

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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 decision

Flow sequence

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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 slope

Ownership map

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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

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INTERVIEW ANSWER LOOP

state metric -> explain mechanism -> request evidence -> propose fix -> list regression

Metric graph

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ANSWER QUALITY

mechanism clarity + ownership clarity + regression discipline

Reports 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