55-Decision & Change Log Template v1.0 | Chapter 9 Implementation Plan & Verification

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Chapter 9 Implementation Plan & Verification

I. Chapter Goals & Scope (Mandatory)

• Produce an executable implementation plan and verification scheme, aligned with Ch.4 (State Machine), Ch.5 (Option Comparison), Ch.6 (Impact Assessment), Ch.7 (Rollback Loop), and Ch.8 (Sign-off).
• Coverage: milestones, resources & roles, environments & configs, data & scripts, gates & monitoring, regression suites, pass lines, exports & audit.

II. Implementation Layers & Objects (Mandatory)

• Layers: Caliber/Equations (S/P), Process/Metrology (M), Implementation Binding (I), Data & Pipeline, Operations & Release.
• Objects: modules/interfaces/data contracts/regions/batches; must match Ch.8 Scope.

III. Milestones & Resource Plan (Mandatory)

• Milestones: M0 Plan Freeze → M1 Env Ready → M2 Implementation Done → M3 Verification Pass → M4 Archive/Release.
• Resources: people (roles/RACI), compute/storage, release window, replay/observation durations.
• Dependencies: external systems/anchors, third-party data, release windows, change freeze periods.

IV. Environments, Config & Change Control (Mandatory)

• Environments: dev/stage/prod (or equivalent topology); full-path changes use feature flags and progressive rollout.
• Config: parameters, thresholds, feature toggles, routing policies; all checked in with audit hashes.
• Change control: CR IDs, commits, rollback points (tags/snapshots), approvals linked to the Ch.4 state machine.

V. Data, Scripts & Reproducibility (Mandatory)

• Data: dataset versions, splits, de-identification, licenses, availability windows.
• Scripts: script@commit, container image, dependency lockfile; provide the minimal repro command.
• Reproducibility: third-party rerun in an independent environment; cross-env consistency ≥ configured floor.

VI. Verification Design & Gates (Mandatory)

• Naming: gate_<metric><comparator><threshold>@<window> (e.g., gate_accuracy>=0.99@7d, gate_latency<=2h@7d).
• Layered verification: unit / integration / system / replay / online-shadow; for each layer specify metrics, window, confidence, script locator.
• Evidence: data source, statistical method, CI_95%, script & data hashes, report ID; no forward progress if any hard gate fails.

VII. Regression Suite & Coverage (Mandatory)

• Suite: benchmarks, comparator scripts, health checks, fault injection.
• Coverage: function/path/data-distribution/boundary; report coverage and blind spots.
• Output: regression report (pass rate, failed samples, deep links).

VIII. Path/Formula Consistency (Mandatory)

1. If implementation involves arrival-time criteria, use the unified forms:
   • Constant factored: T_arr = ( 1 / c_ref ) * ( ∫ n_eff d ell )
   • General form: T_arr = ( ∫ ( n_eff / c_ref ) d ell )
2. Whenever T_arr appears, in the same or adjacent paragraph declare path gamma(ell) and measure d ell; all dimensional checks must pass check_dim.
3. No mixing: T_fil ≠ T_trans, n ≠ n_eff, c ≠ c_ref; no Chinese in formulas/symbols/definitions.

IX. Human Implementation Checklist (Copy-ready)

• Goal & Scope: objects/versions/regions/batches
• Milestones: M0…M4 (dates/owners/done-criteria)
• Env & Config: domains/images/flags/params/thresholds/rollback tag
• Data & Scripts: datasets@version; scripts@commit; container images
• Verification & Gates: per-layer metrics/window/threshold/script locator
• Regression & Coverage: suites/coverage/fault injection
• Monitoring & Alerts: metrics/thresholds/escalation (T0→T3)
• Risk & Rollback: triggers/rollback scripts/recovery criteria (link Ch.7)
• Export & Audit: yaml/json/pdf; evidence hashes; archive location
• Sign-off & Rollout: sign page link; rollout pace & freeze windows

X. Machine-Readable Implementation & Verification Schema (YAML; JSON equivalent, copy-ready)

implementation:

plan_id: "IMP-2025-0012"

scope:

volumes: ["Core.Equations","Core.Metrology"]

modules: ["pipeline.arrival_time"]

regions: ["EU","APAC"]

batches: ["B1","B2"]

milestones:

- { name:"M0_plan_freeze", date:"2025-10-01", owner:"Approver/Owner",

done_when:["sign_chain.state=Approved","gates.hard.ready"] }

- { name:"M1_env_ready", date:"2025-10-03", owner:"Implementer",

done_when:["images.pinned","flags.registered","snapshots.ready"] }

- { name:"M2_impl_done", date:"2025-10-07", owner:"Implementer",

done_when:["unit_ok","integration_ok"] }

- { name:"M3_verification_pass", date:"2025-10-10", owner:"Auditor",

done_when:["regression_ok","gates_passed"] }

- { name:"M4_archive_release", date:"2025-10-12", owner:"ReleaseMgr",

done_when:["audit_exported","signoff.collected"] }

resources:

people:

- { role:"Requester", name:"Alice" }

- { role:"Reviewer", name:"Bob" }

- { role:"Approver", name:"Carol" }

- { role:"Implementer", name:"Diego" }

- { role:"Auditor", name:"Erin" }

compute: { cpu:"64", mem:"256GiB", gpu:"A100x2" }

storage: { scratch:"5TB", archive:"2TB" }

env:

domains: ["dev","stage","prod"]

images: ["registry/arrive_time:1.3.2@sha256:…"]

flags: ["feature.tarr.general_form=true"]

config:

c_ref: "ref:L2"

thresholds: { compat_rate: ">=0.995@replay" }

rollback_tag: "release-stable"

data_scripts:

datasets: ["cmb_set_v3","lens_v1"]

scripts:

- "arrive_time_check.py@a1b2c3"

- "regress_suite.py@9f8e7d"

container: "registry/replay:2025.09@sha256:…"

repro_cmd: "docker run … replay --suite regress_suite.py --dataset cmb_set_v3"

verification:

layers:

unit:

metrics: ["test_pass_rate>=0.99"]

evidence: ["unit_report@sha256:…"]

integration:

metrics: ["api_contract_breaking==0"]

evidence: ["postman_collection@sha256:…"]

system:

metrics: ["gate_latency<=2h@7d","gate_error_rate<=1e-3@7d"]

evidence: ["sys_health@sha256:…"]

replay:

metrics: ["compat_rate>=0.995@replay","replay_pass>=0.99"]

evidence: ["replay_logs@sha256:…"]

shadow:

metrics: ["delta_metric<=1e-3@7d"]

evidence: ["shadow_eval@sha256:…"]

gates:

hard: ["gate_accuracy>=0.99@7d","compat_rate>=0.995@replay"]

soft: ["unit_cost<=1.0x@30d"]

regression_suite:

cases: ["cmb_v3@subset-A","lens_v1@all"]

coverage:

functional: ">=0.95"

path: ">=0.90"

data: ">=0.90"

stats:

method: "bootstrap"

ci: "95%"

export:

artifacts: ["yaml","json","pdf"]

evidence_hashes: ["sha256:…","sha256:…"]

monitoring:

metrics:

- "gate_latency<=2h@7d"

- "gate_accuracy>=0.99@7d"

- "incident_level<2@24h"

- "data_drift<=0.03@14d"

alerts:

t0: { ack:"15m", action:["observe"] }

t1: { ack:"30m", action:["oncall_intervene"] }

t2: { ack:"1h", action:["owner_review"] }

t3: { ack:"2h", action:["rollback_decide"] }

rollout:

strategy: "canary"

pace: "10%/day"

freeze_windows: ["2025-10-04T00:00Z/2025-10-04T06:00Z"]

exit_on:

triggers: ["gate_accuracy<0.98@7d","compat_rate<0.99@replay"]

references:

see:

- "EFT.WP.Core.Equations v1.1:S20-1"

- "EFT.WP.Core.Metrology v1.0:check_dim"

- "EFT.WP.Core.DataSpec v1.0:I30-2"

XI. Human × Machine Alignment (Mandatory)

XII. Minimal Filled Example (Copy-ready)

implementation:

plan_id: "IMP-2025-0199"

scope: { modules:["pipeline.arrival_time"], regions:["EU"] }

verification:

gates:

hard: ["gate_accuracy>=0.99@7d"]

regression_suite:

cases: ["cmb_v3@subset-A"]

rollout:

strategy: "canary"

pace: "20%/day"

exit_on: { triggers:["gate_accuracy<0.98@7d"] }

references:

see: ["EFT.WP.Core.Equations v1.1:S20-1","EFT.WP.Core.Metrology v1.0:check_dim"]

XIII. Pass Lines & Archiving (Mandatory)

• Pass criteria: all hard gates passed; soft gates met under signed clauses; shadow/replay Δ-metrics within limits; coverage above thresholds.
• Archiving: export yaml/json/pdf with evidence hashes and the signed page, store in the repository; release record and audit trail fields complete.