LPV Regression: Inputs and Outputs

Inputs and outputs contract

Inputs and Outputs for LPV Regression is anchored on illegal transition rate, corruption incidence, and deterministic replay quality under low-power scenarios. Convert observations into mechanism-backed and owner-bound actions.

INPUTS
  - power-mode sequence and ownership context
  - seed, order, and configuration metadata
  - intent assumptions for transitions and crossings
  - assertion and coverage expectation envelope

OUTPUTS
  - evidence-backed failure classification
  - owner-signed mitigation proposal
  - validation matrix and rollback triggers
  - release recommendation

Ownership split

OWNERSHIP LAYERS - LPV Regression

+----------------------+--------------------------------+--------------------------------+
| Team                 | Primary responsibility         | Closure artifact               |
+----------------------+--------------------------------+--------------------------------+
| LPV lead | scenario intent and closure      | review rationale memo          |
| power-intent owner | transition and boundary contract | timeline + assertion packet    |
| LPV Debug & Signoff owner | regression signoff readiness     | validation matrix + risk note  |
+----------------------+--------------------------------+--------------------------------+

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.

Handoff explanation

Inputs should include mode sequence, domain status, and control ownership context.

Outputs should include deterministic reproducer and acceptance boundaries.