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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 & 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 & Diagnosis: Tricky Q&A

DFT / ATPG · All levels

Compression & Diagnosis: Tricky Q&A

Senior interview and review questions for Compression & Diagnosis.

On this page

    Section Q&A bank

    Use these drills after completing all topics in Compression & Diagnosis. Answer with metric, mechanism, evidence, owner, and regression plan.

    How can higher compression reduce debug quality?

    Diagram
    [INT][DFT][COMPRESSION-DIAGNOSTICS]
    
    Q: How can higher compression reduce debug quality?
    
    A:
    Aggressive compaction and X pressure can reduce diagnosis resolution and increase aliasing ambiguity.
    
    FOLLOW-UP TRAP: Optimizing ratio without diagnosis evidence.

    Pattern count jumps 2x overnight. What do you inspect first?

    Diagram
    [INT][DFT][COMPRESSION-DIAGNOSTICS]
    
    Q: Pattern count jumps 2x overnight. What do you inspect first?
    
    A:
    Constraint diffs, X-source changes, and compression channel configuration tags.
    
    FOLLOW-UP TRAP: Assuming silicon quality changed overnight.

    Q&A drill guide

    Diagram
    METRIC -> MECHANISM -> EVIDENCE -> FIX -> REGRESSION

    Sketch while answering

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

    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.

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    See also

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