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Course contents

  • How to Use This Course
  • Reading Path
  • STA Glossary
  • STA Metrics Reference
  • STA Mastery Cheatsheet
  • Timing Paths and Checks16
  • Constraints & SDC Fundamentals20
  • Delay Graph & Path Analysis16
  • Beyond Setup and Hold16
  • Multi-Corner Multi-Mode Signoff16
  • OCV, AOCV, POCV and Variation16
  • Crosstalk and Noise16
  • ECO and Closure16
  • STA Debug Playbook16
    • Constraint Bug Patterns
    • View Mismatch Triage
    • Path Group War Room
      • Daily Triage
      • Owner Assignment
      • Escalation and Signoff Risk
      • Closing the Long Tail
    • Signoff Regression Hygiene
  • STA Interview Prep26
  • Capstone Timing Signoff Lab4
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‹Path Group War Room
  1. Topics
  2. Static Timing Analysis
  3. STA Debug Playbook
  4. Path Group War Room
  5. Escalation and Signoff Risk

Part 9 · Debug Playbook · All levels

Escalation and Signoff Risk

Escalate when an owner's backlog divided by their fix rate exceeds the days left; the arithmetic removes the argument.

On this page

    Why it matters

    Escalation by feeling is slow and political. Escalation by arithmetic is quick: backlog divided by the net burn rate (fixes minus new violations, measured over recent days) is the number of days the owner needs, and if it exceeds the days left the project is at risk, whatever the owner thinks.

    Worked example

    example.py
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    days_left = 8
    owners = {                                   # backlog (open endpoints), recent net burn rate (endpoints per day)
        "core owner":   (120, 30),
        "memory owner": (60, 5),
        "io owner":     (10, 2),
    }
    need = {o: round(b / r, 1) for o, (b, r) in owners.items()}
    assert need == {"core owner": 4.0, "memory owner": 12.0, "io owner": 5.0}
    at_risk = sorted(o for o, d in need.items() if d > days_left)
    assert at_risk == ["memory owner"]
    short_by = round(need["memory owner"] - days_left, 1)
    assert short_by == 4.0
    required_rate = 60 / days_left
    assert required_rate == 7.5
    print("PASS: at risk:", at_risk, "needs", need["memory owner"], "days with", days_left, "left; needs", required_rate, "fixes per day")

    Owner

    Backlog

    Net burn rate (per day)

    Days needed

    Days left

    Status

    Core

    120

    30

    4.0

    8

    On track

    Memory

    60

    5

    12.0

    8

    At risk: 4 days short

    IO

    10

    2

    5.0

    8

    On track

    The core owner has the largest backlog but is fastest, and finishes in 4 days. The memory owner has half the backlog but a net burn rate of 5 per day, so needs 12 days of the 8 left: at risk by 4 days, and needing 7.5 net fixes per day instead of 5. The example numbers are net rates, after subtracting new violations. The division is a floor estimate: it assumes the recent net rate holds and treats zero backlog as the floor, so a falling rate or a fresh wave of new violations breaks it. The escalation question is concrete: what changes the rate (more people, a different fix method for those endpoints, a structural change), or what changes the target (a waiver with evidence)? The IO owner is closer to the limit than the numbers suggest if their rate is falling.

    What the review looks for

    • Rates are measured over the last few days, not promised; a falling rate is a warning on its own.

    • At-risk owners get a named plan with a date, not a request to try harder.

    • The escalation record is part of the signoff package: it shows risks were visible and handled.

    Common pitfall

    Using the best past day as the fix rate. Early rounds fix easy endpoints quickly; the average slows as the problem gets harder.

    Interview

    Give the formula: days needed equal backlog divided by net burn rate, compared with days left.

    Check yourself If the memory owner's rate doubled to 10 per day, would they be at risk?

    No: 60 / 10 = 6 days needed, less than the 8 left.

    Related topics

    • Owner Assignment

    • Next: Closing the Long Tail

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    See also

    • Daily Triage