Use when you own Abstract Models (LEF/DEF/Timing) in a top-level integration review.
Open latest integration baseline and manifest.
Inspect failing metric by domain.
Trace first failing contract boundary.
Collect artifacts and assign single-thread owner.
Define minimal proof experiment.
Apply smallest reversible fix.
Run focused check then full regression.
Update dashboard and governance log.
Decide: close, waive with expiry, or escalate.
Publish final review memo.
abstract model manifest, LEF/DEF consistency report, timing-model diff
baseline manifest
owner matrix
regression summary
risk memo
SOC DECISION MEMO — Abstract Models (LEF/DEF/Timing)
baseline:
metric:
root cause:
fix:
residual risk:
owners: PD owner, IP physical owner, STA ownerABSTRACT MODEL LAYERS
logical model <-> timing model <-> physical abstract (LEF/DEF)
must remain version-aligned at every integration cut.IP handoff quality and version governance drive integration velocity.
IP HANDOFF PIPELINE
IP package -> baseline lock -> integration build -> bring-upINTEGRATION CHURN
collateral gaps ██████
version drift █████
real logic bugs ███handoff completeness score
manifest diff report
model mismatch log
bring-up issue tracker
Most top-level debug time was spent on collateral drift, not RTL defects.
Validate handoff checklist
Lock manifest hashes
Correlate issue to owner boundary
Ask: what baseline, owner, and artifact prove this topic is truly closed?
State baseline manifest and owner with every closure metric.
Run cross-domain regression after every top-level fix.
Comparing results across different manifests.
Unowned issues slipping through review cycles.
Waiving risks without expiry and validation plan.
Top-level integration relies on abstract views (timing, physical, power) that must remain aligned with evolving implementation details.
Metric: abstract-model mismatch defects, floorplan integration churn
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