proffesor-for-testing__agentic-qe/docs/implementation/specs/SPEC-047-B-phase-implementation.md

SPEC-047-B: Phase Implementation

Field	Value
Specification ID	SPEC-047-B
Parent ADR	ADR-047
Version	1.0
Status	Implemented
Last Updated	2026-01-17
Author	Architecture Team

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Overview

Defines the phased implementation plan for MinCut self-organizing QE integration, including success metrics for each phase and agent assignments.

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Specification Details

Section 1: Implementation Priorities

Priority	Feature	Effort	Dependencies	Value
P0	MinCut Health Metric	2 days	None	Foundation for all else
P1	Strange Loop Self-Healing	1 week	P0, ADR-008 Queen	High - reduces manual intervention
P2	Causal Test Failure Discovery	1 week	ADR-035 STDP	High - instant root cause
P3	Morphogenetic Test Generation	2 weeks	ADR-005 TestGen	Medium - organic coverage
P4	Time Crystal CI/CD	1 week	ADR-032	Medium - scheduler-free
P5	Neural GOAP Optimizer	2 weeks	ADR-046 GOAP	Medium - plan intelligence
P6	Dream x Strange Loop	3 weeks	ADR-046 Dreams, P1	Experimental - meta-learning

Section 2: Phase Success Metrics

P0: MinCut Health Metric

• MinCut value displayed in Queen status (MinCutHealthMonitor)
• Threshold alerts when connectivity drops below 2.0 (MinCutAlert)
• Graph visualization of swarm topology (SwarmGraph with vertex/edge tracking)

P1: Strange Loop Self-Healing

• Automatic agent spawning when MinCut < threshold (StrangeLoopController)
• Self-model prediction accuracy > 70% (SelfModelPrediction)
• Mean time to recovery < 30 seconds (ReorganizationAction)

P2: Causal Test Failure Discovery

• Root cause identification in < 5 seconds (TestFailureCausalGraph)
• Causal graph accuracy > 80% (CausalLink with STDP learning)
• Integration with existing failure reporting (RootCauseAnalysis, FixSuggestion)

P3: Morphogenetic Test Generation

• Tests grow organically based on code changes (MorphogeneticController)
• Coverage maintained above 80% automatically (MorphogeneticFieldManager)
• Signal diffusion propagates within 1 second (GrowthPattern, MutationRule)

P4: Time Crystal CI/CD

• Scheduler-free test coordination achieved (TimeCrystalController)
• Phase synchronization within 10 cycles (Kuramoto oscillators, TemporalAttractor)
• No performance degradation vs traditional scheduler (CrystalLattice)

P5: Neural GOAP Optimizer

• Plan costs learned from execution outcomes (GOAPController, NeuralPlanner)
• 20% improvement in plan efficiency after 100 executions (GOAPPlan with Q-learning)
• Q-values persist across sessions (PlanExecutionResult replay buffer)

P6: Dream x Strange Loop Meta-Learning

• Hypothetical scenarios generated during idle time (DreamMinCutController)
• At least 3 actionable insights per dream cycle (MetaLearningTracker)
• Quality equilibrium convergence within 10 iterations (StrangeLoopDreamIntegration)

Section 3: Agent Assignments

Phase	Agents	Tasks
P0	architect, coder	MinCut calculator, Queen integration
P1	architect, coder, tester	Strange Loop healer, tests
P2	coder, researcher	Causal graph, STDP integration
P3	coder, tester	Morphogenetic signals, spawner
P4	coder	Time Crystal integration
P5	coder, ml-developer	Neural GOAP optimizer
P6	architect, coder, researcher	Dream x Strange Loop

Section 4: Source Files Created

File	Description	LOC
interfaces.ts	Type definitions for all MinCut components	~200
swarm-graph.ts	Graph data structure for topology representation	~300
mincut-calculator.ts	MinCut algorithms (approximate, exact)	~250
mincut-health-monitor.ts	Real-time health monitoring and alerting	~200
strange-loop.ts	P1: Self-healing controller (observe->model->decide->act)	~350
causal-discovery.ts	P2: STDP-based causal test failure analysis	~400
morphogenetic-growth.ts	P3: Bio-inspired test generation	~500
time-crystal.ts	P4: Kuramoto oscillator CI/CD coordination	~450
neural-goap.ts	P5: Q-learning GOAP optimizer	~400
dream-integration.ts	P6: Dream x Strange Loop meta-learning	~350
queen-integration.ts	Queen Coordinator MinCut bridge	~200
mincut-persistence.ts	Persistence layer for graph state	~150
shared-singleton.ts	Shared state for MCP<->Queen integration	~100
index.ts	Barrel exports for all components	~150

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Validation Rules

Rule ID	Description	Severity
SPEC-047-B-001	Each phase must complete all success metrics before next phase	Error
SPEC-047-B-002	478+ unit tests required for full implementation	Error
SPEC-047-B-003	MCP tools must be registered in tool registry	Warning

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Related Specifications

Spec ID	Title	Relationship
SPEC-047-A	MinCut Architecture	Architecture overview
SPEC-047-C	Performance Metrics	Achieved metrics

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Changelog

Version	Date	Author	Changes
1.0	2026-01-17	Architecture Team	Initial specification

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References

• Parent ADR
• ADR-008: Multi-Agent Hierarchical Coordination (Queen Coordinator)
• ADR-021: QE ReasoningBank for Pattern Learning
• ADR-046: V2 Feature Integration (GOAP, Dreams)