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Course contents

  • How to Use This Course
  • Reading Paths
  • Concept Map
  • Meet DCRouter
  • Glossary
  • Part 0: What Verification Is8
  • Part 1: What Can Go Wrong11
  • Part 2: Specifications as Checkable Rules8
  • Part 3: Observability and Controllability7
  • Part 4: Stimulus11
  • Part 5: Checking11
  • Part 6: Coverage10
  • Part 7: Formal and Simulation10
  • Part 8: Verification Levels and Reuse8
  • Part 9: Planning and Risk9
  • Part 10: Emulation and Prototyping8
  • Part 11: Post-Silicon Validation8
  • Part 12: Bug Economics8
  • Part 13: Debug7
    • The Debug Loop
    • Reproducing Failures
    • Following the Wait
    • Bisection and Delta Debugging
    • Triage at Scale
    • Is It the Testbench?
    • Drills: Debug
  • Part 14: Sign-Off7
  • Part 15: Verification in Context8
  • Part 16: Case Studies5
  • Part 17: Capstones5
  • Part 18: Interview Preparation6
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‹First Principles of Verification Strategy
  1. Topics
  2. First Principles of Verification Strategy
  3. Part 13: Debug

Part 13 · Debug · All levels

Part 13: Debug

How do we find the cause fast? Debug a failing test with a repeatable method.

  • 7topics
  • 7lessons
On this page

    Part 13 answers: How do we find the cause fast?

    Where Part 13 sits among the sixteen questions of the course.

    Most verification time goes to debug: deciding why a test failed, whether the design or the testbench is wrong, and which change caused it. Fast debug is a method, not a talent: observe, form a hypothesis, test it, narrow down.

    This part covers the debug loop, reproducing failures, following the wait on a waveform, bisection and delta debugging, triaging thousands of failures by signature, and telling testbench bugs from design bugs.

    After this part you can

    • Debug a failing test with a repeatable method.

    • Shrink a failing case and find the change that caused it.

    • Triage a large regression failure by signature.

    Warm-up: three questions from Part 12

    Answer each in your head before opening it. If two or more feel shaky, revisit Part 12: Bug Economics first.

    Check yourself What does a flattening bug-discovery curve mean?

    Either the design is maturing or the current techniques have stopped finding bugs; check which before trusting it.

    Check yourself When should you change technique?

    When the cost per bug found with the current one rises steeply while coverage or risk says bugs likely remain.

    Check yourself How can you estimate remaining bugs?

    Growth-model fits to the discovery curve, or capture-recapture between independent methods.

    Lessons

    #

    Lesson

    Level

    Status

    13.1

    The Debug Loop

    W · Working

    Ready

    13.2

    Reproducing Failures

    W · Working

    Ready

    13.3

    Following the Wait

    W · Working

    Ready

    13.4

    Bisection and Delta Debugging

    S · Senior

    Ready

    13.5

    Triage at Scale

    S · Senior

    Ready

    13.6

    Is It the Testbench?

    S · Senior

    Ready

    —

    Drills and checkpoint

    all levels

    Ready

    Every lesson in this part is ready. Work through them in order: each one sets up the problem the next one solves.

    Where other courses go deeper

    This course teaches the decisions behind verification. These lessons teach the tools and syntax that carry them out, so this part links to them instead of repeating them.

    • UVM course: Debug

    • Protocols course: A Waveform Debug Method

    • DV interview puzzles: Scenario Debug Puzzles

    Related topics

    • Course hub

    • Previous: Part 12 · Bug Economics

    • Next: Part 14 · Sign-Off

    PreviousNext: The Debug Loop

    Up next

    Up nextThe Debug Loop

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    See also

    • How to Use This Course
    • Reading Paths
    • Concept Map