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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
    • Diagnosis & Yield Learning
    • Compression Debug
      • Compression Debug: Mechanism
      • Compression Debug: Inputs & Outputs
      • Compression Debug: Reports & Metrics
      • Compression Debug: Debug Playbook
      • Compression Debug: Worked Example
      • Compression Debug: Pitfalls & Red Flags
      • Compression Debug: Interview Drills
      • Compression Debug: Review Checklist
      • Compression Debug: Theory Deep Dive
      • Compression Debug: Design Space
      • Compression Debug: Expanded Case Study
      • Compression Debug: Step-by-Step Walkthrough
      • Compression Debug: Comparison Matrix
      • Compression Debug: Software / Programmer View
      • Compression Debug: Silicon PPA Impact
    • 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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‹Compression Debug
  1. Topics
  2. Design for Test
  3. Compression & Diagnosis
  4. Compression Debug
  5. Compression Debug: Mechanism

DFT / ATPG · All levels

Compression Debug: Mechanism

Mechanism for Compression Debug.

On this page

    Mechanism to understand

    Mechanism for Compression Debug focuses on unknown/X inflation, compactor overflow incidents, pattern replay success rate. The goal is to convert metric movement into mechanism, owner, and release decision.

    Compression debug isolates whether failures come from EDT wiring, X-masking policy, clocking, or ATPG assumptions before blaming silicon defects. Think of DFT as a quality pipeline where setup quality determines what silicon evidence means.

    • Identify where controllability/observability is introduced.

    • Identify legal constraints and mode assumptions.

    • Identify failure class: architecture, constraints, physical, or silicon.

    Layered view

    Diagram
    DFT CLOSURE FLOW - Compression Debug
    
    scan/test architecture
            |
            v
    ATPG constraints + fault models
            |
            v
    pattern generation + compression
            |
            v
    timing/power/physical validation
            |
            v
    silicon diagnosis and release signoff
    
    Debug rule: always state metric, run tags, and owning team with any claim.

    Compression flow

    Diagram
    compression architecture -> ATPG patterns -> fail logs -> diagnosis -> yield learning

    Layer responsibilities

    Diagram
    DFT OWNERSHIP LAYERS - Compression Debug
    
    layer              owns                         failure mode
    ----------------   --------------------------   -------------------------
    rtl/architecture   scanability hooks            uncontrollable logic
    atpg/constraints   legal pattern intent         aborts, low coverage
    physical/clocking  chain route + test clocks    shift hold/timing escapes
    tester/program     pattern apply integrity      false binning / bad fails
    quality signoff    release criteria             escapes or schedule slip

    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.

    Mechanism deep dive

    Compression debug isolates whether failures come from EDT wiring, X-masking policy, clocking, or ATPG assumptions before blaming silicon defects.

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    See also

    • Compression Debug: Reports & Metrics
    • Compression Debug: Debug Playbook
    • Compression Debug: Worked Example