Power Bug Triage: Comparison Matrix

Comparison matrix

Signoff strictness trades turnaround speed against residual risk and post-silicon debug burden.

+------------------+----------------+----------------+----------------+
| Approach         | Strength       | Weakness       | Best when      |
+------------------+----------------+----------------+----------------+
| Strict intent    | high safety    | extra setup    | new designs    |
| Balanced flow    | good velocity  | review overhead | multi-team work |
| Lean checks      | faster runs    | escape risk    | late-cycle triage only |
| Refactor path    | clear contracts | migration cost | legacy cleanup |
+------------------+----------------+----------------+----------------+

When to choose each approach

• Choose LPV posture from escape risk, schedule stage, and owner bandwidth rather than simulator runtime alone.

Interview traps

• Selecting lower-overhead flows without proving corner-case transition behavior.

• Treating waiver volume as closure progress.

Low-power verification deep dive

Signoff confidence comes from triage discipline, reproducible proof, and explicit residual-risk decisions.

Concept diagram

LPV SIGNOFF LADDER

reproduce -> classify -> isolate boundary -> bounded fix -> replay -> signoff decision

Metric graph

SIGNOFF CONFIDENCE

open ambiguous failures  ██████
reproducible closures    ███████
residual-risk unknowns   ███

Metrics and artifacts to collect

• X-prop triage classification report

• bug root-cause closure packet

• regression stability and recurrence trend

• signoff checklist completion matrix

Mini case study

A signoff block cleared after the team replaced broad waivers with boundary-specific evidence and replay criteria.

Debug branches

• Classify X behavior before broad waiving.

• Capture one definitive artifact packet per closure claim.

• Define residual risk and rollback path at signoff.

Senior review question

Ask: what exact low-power transition boundary failed first, and which artifact proves the closure claim reproducibly?

Key takeaways

• Tie each LPV claim to a concrete transition boundary and one proving artifact.

• Prefer minimal reversible fixes with explicit owner and rollback criteria.

Common pitfalls

• Treating power-aware failures as random before boundary classification.

• Waiving X-prop failures before proving impact and root cause.

• Declaring closure without deterministic replay across key modes.

Principal LPV review addendum

Power Bug Triage should be reviewed as a transition integrity system, not just isolated checks.

Use illegal transition count, corruption incidence, and reproducibility of low-power regressions across fixed seeds as alarm and LPV evidence packet: transition timeline, assertion outcomes, and before-after replay summary as proof.

LPV debug and signoff require disciplined triage: classify X behavior, isolate root cause, and close with reproducible evidence. Closure quality comes from reproducible evidence and explicit owners.