qcsd-refinement-swarm

name	qcsd-refinement-swarm
description	QCSD Refinement phase swarm for Sprint Refinement sessions using SFDIPOT product factors, BDD scenario generation, and requirements validation.
category	qcsd-phases
priority	critical
version	1.0.0
tokenEstimate	3200
domains	{"primary":[{"domain":"requirements-validation","agents":["qe-product-factors-assessor","qe-bdd-generator","qe-requirements-validator"]}],"conditional":[{"domain":"contract-testing","agents":["qe-contract-validator"]},{"domain":"code-intelligence","agents":["qe-impact-analyzer","qe-dependency-mapper"]},{"domain":"enterprise-integration","agents":["qe-middleware-validator","qe-odata-contract-tester","qe-sod-analyzer"]}],"transformation":[{"domain":"test-generation","agents":["qe-test-idea-rewriter"]}]}
agents	{"core":["qe-product-factors-assessor","qe-bdd-generator","qe-requirements-validator"],"conditional":["qe-contract-validator","qe-impact-analyzer","qe-dependency-mapper","qe-middleware-validator","qe-odata-contract-tester","qe-sod-analyzer"],"transformation":["qe-test-idea-rewriter"],"total":10,"sub_agents":0}
skills	["context-driven-testing","testability-scoring","risk-based-testing"]
execution	{"primary":"task-tool","alternatives":["mcp-tools","cli"]}
swarm_pattern	true
parallel_batches	3
last_updated	"2026-02-02T00:00:00.000Z"
enforcement_level	strict
tags	["qcsd","refinement","sfdipot","bdd","gherkin","requirements","swarm","parallel","ddd"]
trust_tier	3
validation	{"schema_path":"schemas/output.json","validator_path":"scripts/validate-config.json","eval_path":"evals/qcsd-refinement-swarm.yaml"}

QCSD Refinement Swarm v1.0

Shift-left quality engineering swarm for Sprint Refinement sessions.

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Overview

The Refinement Swarm takes user stories that passed Ideation and prepares them for Sprint commitment using SFDIPOT product factors, BDD scenarios, and INVEST validation. It renders a READY / CONDITIONAL / NOT-READY decision.

QCSD Phase Positioning

Phase	Swarm	Decision	When
Ideation	qcsd-ideation-swarm	GO / CONDITIONAL / NO-GO	PI/Sprint Planning
Refinement	qcsd-refinement-swarm	READY / CONDITIONAL / NOT-READY	Sprint Refinement
Development	qcsd-development-swarm	SHIP / CONDITIONAL / HOLD	During Sprint
Verification	qcsd-cicd-swarm	RELEASE / REMEDIATE / BLOCK	Pre-Release / CI-CD
Production	qcsd-production-swarm	HEALTHY / DEGRADED / CRITICAL	Post-Release

Parameters

• STORY_CONTENT: User story with acceptance criteria (required)
• OUTPUT_FOLDER: Where to save reports (default: ${PROJECT_ROOT}/Agentic QCSD/refinement/)

---

ENFORCEMENT RULES - READ FIRST

Rule	Enforcement
E1	MUST spawn ALL THREE core agents in Step 2.
E2	MUST put all parallel Task calls in a SINGLE message.
E3	MUST STOP and WAIT after each batch.
E4	MUST spawn conditional agents if flags are TRUE.
E5	MUST apply READY/CONDITIONAL/NOT-READY logic exactly.
E6	MUST generate the full report structure.
E7	Each agent MUST read its reference files before analysis.
E8	MUST apply qe-test-idea-rewriter transformation in Step 8.
E9	MUST execute Step 7 learning persistence.

---

Step Execution Protocol

Execute steps sequentially by reading each step file with the Read tool.

Steps

1. Flag Detection -- steps/01-flag-detection.md -- Analyze story content, evaluate all 7 flags
2. Core Agents -- steps/02-core-agents.md -- Spawn qe-product-factors-assessor, qe-bdd-generator, qe-requirements-validator
3. Batch 1 Results -- steps/03-batch1-results.md -- Wait and extract metrics
4. Conditional Agents -- steps/04-conditional-agents.md -- Spawn flagged agents
5. Decision Synthesis -- steps/05-decision-synthesis.md -- Apply READY/CONDITIONAL/NOT-READY logic
6. Report Generation -- steps/06-report-generation.md -- Generate refinement report
7. Learning Persistence -- steps/07-learning-persistence.md -- Store findings to memory
8. Transformation -- steps/08-transformation.md -- Run test idea rewriter on all test ideas
9. Final Output -- steps/09-final-output.md -- Display completion summary

Execution Instructions

1. Use the Read tool to load the current step file
2. Execute the step's instructions completely
3. Verify all success criteria are met
4. Pass output as context to next step
5. If a step fails, halt and report

Resume Support

To resume from a specific step: specify --from-step N.

---

Agent Inventory

Agent	Type	Domain	Batch
qe-product-factors-assessor	Core	requirements-validation	1
qe-bdd-generator	Core	requirements-validation	1
qe-requirements-validator	Core	requirements-validation	1
qe-contract-validator	Conditional (HAS_API)	contract-testing	2
qe-impact-analyzer	Conditional (HAS_REFACTORING)	code-intelligence	2
qe-dependency-mapper	Conditional (HAS_DEPENDENCIES)	code-intelligence	2
qe-middleware-validator	Conditional (HAS_MIDDLEWARE)	enterprise-integration	2
qe-odata-contract-tester	Conditional (HAS_SAP_INTEGRATION)	enterprise-integration	2
qe-sod-analyzer	Conditional (HAS_AUTHORIZATION)	enterprise-integration	2
qe-test-idea-rewriter	Transformation (always)	test-generation	3

Total: 10 agents (3 core + 6 conditional + 1 transformation)

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Key Principle

Refinement quality determines sprint success. This swarm ensures stories are testable, complete, and ready for development commitment.