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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 & Diagnosis
  1. Topics
  2. Design for Test
  3. Compression & Diagnosis
  4. Compression Debug

DFT / ATPG · All levels

Compression Debug

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

  • 15topics
  • 15lessons

Topics in this section

  1. 1Compression Debug: Mechanism1 lesson
  2. 2Compression Debug: Inputs & Outputs1 lesson
  3. 3Compression Debug: Reports & Metrics1 lesson
  4. 4Compression Debug: Debug Playbook1 lesson
  5. 5Compression Debug: Worked Example1 lesson
  6. 6Compression Debug: Pitfalls & Red Flags1 lesson
  7. 7Compression Debug: Interview Drills1 lesson
  8. 8Compression Debug: Review Checklist1 lesson
  9. 9Compression Debug: Theory Deep Dive1 lesson
  10. 10Compression Debug: Design Space1 lesson
  11. 11Compression Debug: Expanded Case Study1 lesson
  12. 12Compression Debug: Step-by-Step Walkthrough1 lesson
  13. 13Compression Debug: Comparison Matrix1 lesson
  14. 14Compression Debug: Software / Programmer View1 lesson
  15. 15Compression Debug: Silicon PPA Impact1 lesson
On this page

    What this topic teaches

    Compression Debug turns DFT intent into measurable release confidence. Compression debug isolates whether failures come from EDT wiring, X-masking policy, clocking, or ATPG assumptions before blaming silicon defects. The senior challenge is proving whether a metric move came from real quality gain, setup drift, or hidden regression.

    The senior-engineer question

    When unknown/X inflation, compactor overflow incidents, pattern replay success rate moves, can you identify mechanism, evidence quality, owner, and the minimum safe next action?

    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.

    Picture the closure flow

    Draw the causal flow before opening tools. Use these diagrams to anchor architecture, constraints, and silicon behavior discussions.

    Compression flow

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

    Process sequence

    Diagram
    DFT FLOW - Compression Debug
    
    scan insertion -> chain stitch -> compression map -> ATPG -> tester apply -> diagnosis
          |                |                |            |             |
     controllability   shift balance    channel use   coverage     silicon correlation
    
    Primary metric: unknown/X inflation, compactor overflow incidents, pattern replay success rate

    Ownership layers

    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

    Evidence to collect

    • Primary metric: unknown/X inflation, compactor overflow incidents, pattern replay success rate.

    • Primary artifact: X-source trace, compactor status report, pattern replay logs.

    • Owners to bring into review: ATPG owner, DFT owner, silicon bring-up owner.

    • One failing signature and one reduced reproduction path.

    • Exact run tags for constraints, patterns, and tester program.

    Ownership map

    Diagram
    OWNERSHIP MAP - Compression Debug
    
    artifact              owner
    ----------------      -----------------
    architecture/report ATPG owner
    constraints/setup   DFT owner
    physical/test       silicon bring-up owner
    
    Name an owner for each failing metric cluster.

    Subpages in this topic

    Each topic includes mechanism, inputs/outputs, reports, debug, worked example, pitfalls, interview, checklist, theory, design space, expanded case study, walkthrough, comparison matrix, software view, and silicon impact.

    Key takeaways

    • State metric and run tags with every claim.

    • Connect every fix to a regression matrix.

    • Treat quality, timing, and power as coupled.

    Common pitfalls

    • Coverage-centric decisions without legality checks.

    • Pattern changes without tester correlation.

    • Release calls without owner signoff.

    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.

    PreviousNext: Compression Debug: Mechanism

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    See also

    • Compression Architectures
    • Pattern Volume Tradeoffs
    • Diagnosis & Yield Learning