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Course contents

  • How to Use This Course
  • DFT Metrics Reference
  • DFT Glossary
  • Reading Path
  • Scan Fundamentals61
  • Compression & Diagnosis61
    • Compression Architectures
    • Pattern Volume Tradeoffs
      • Pattern Volume Tradeoffs: Mechanism
      • Pattern Volume Tradeoffs: Inputs & Outputs
      • Pattern Volume Tradeoffs: Reports & Metrics
      • Pattern Volume Tradeoffs: Debug Playbook
      • Pattern Volume Tradeoffs: Worked Example
      • Pattern Volume Tradeoffs: Pitfalls & Red Flags
      • Pattern Volume Tradeoffs: Interview Drills
      • Pattern Volume Tradeoffs: Review Checklist
      • Pattern Volume Tradeoffs: Theory Deep Dive
      • Pattern Volume Tradeoffs: Design Space
      • Pattern Volume Tradeoffs: Expanded Case Study
      • Pattern Volume Tradeoffs: Step-by-Step Walkthrough
      • Pattern Volume Tradeoffs: Comparison Matrix
      • Pattern Volume Tradeoffs: Software / Programmer View
      • Pattern Volume Tradeoffs: Silicon PPA Impact
    • Diagnosis & Yield Learning
    • Compression Debug
    • Compression & Diagnosis: Tricky Q&A
  • ATPG & Pattern Generation61
  • MBIST & LBIST61
  • Boundary Scan & JTAG61
  • Test Timing & Power61
  • DFT Physical Integration61
  • DFT Interview Prep61
  • DFT / ATPG Cheatsheet
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‹Pattern Volume Tradeoffs
  1. Topics
  2. Design for Test
  3. Compression & Diagnosis
  4. Pattern Volume Tradeoffs
  5. Pattern Volume Tradeoffs: Review Checklist

DFT / ATPG · All levels

Pattern Volume Tradeoffs: Review Checklist

Review Checklist for Pattern Volume Tradeoffs.

On this page

    Review checklist

    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.

    Signoff ownership

    Diagram
    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.

    DFT deep dive

    Compression saves tester time only when diagnosis observability remains credible.

    Concept diagram

    Diagram
    COMPRESSION LOOP
    
    EDT/decompressor -> compressed patterns -> compactor responses -> diagnosis

    Metric graph

    Diagram
    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

    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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    See also

    • Pattern Volume Tradeoffs: Mechanism
    • Pattern Volume Tradeoffs: Inputs & Outputs
    • Pattern Volume Tradeoffs: Reports & Metrics