🧪 Test Blueprint

📘 What Is a Test Blueprint?

A Test Blueprint is a structured, agent-generated specification that defines what, how, and when to test inside the ConnectSoft AI Software Factory.

It is a machine-readable and human-readable artifact that orchestrates all testing activities across:

• ✅ Unit, integration, and end-to-end tests
• 🔍 Behavior-driven tests (BDD)
• 🔒 Security, mutation, and chaos tests
• 📊 Coverage tracking, regression loops, and observability feedback

---

Think of it as a software-quality manifest — enabling testing to be generated, diffed, validated, traced, and monitored with full automation.

---

🧠 Created and Maintained By Agents

Agent	Role
🧠 Test Generator Agent	Produces test code scaffolds based on blueprint inputs
🧪 Test Case Generator Agent	Creates .feature, .cs, and .yaml test scenarios
🧪 QA Engineer Agent	Validates coverage, test assertions, and role-level correctness
🧠 Test Coverage Validator Agent	Ensures blueprint has sufficient test metrics and outputs
🧪 Test Automation Engineer Agent	Maps blueprint outputs to CI/CD pipelines and rerun strategies

---

🧩 Test Blueprint Output Forms

Format	Purpose
.md	Human-readable documentation of the blueprint
.yaml	Machine-readable test execution manifest
.cs	Auto-generated MSTest/SpecFlow scaffolds
.feature	BDD specs for scenario-driven validation
.json	(Optional) AI agent input/output payloads

---

🏭 Where It Fits in the Factory

flowchart TD
  ProductBlueprint --> TestBlueprint
  MicroserviceBlueprint --> TestBlueprint
  TestBlueprint --> TestGeneratorAgent
  TestBlueprint --> QAEngineerAgent
  TestBlueprint --> CI_Pipeline
  TestBlueprint --> ObservabilityDashboards

Hold "Alt" / "Option" to enable pan & zoom

---

🔁 Continuous and Regenerative

• Re-generated with every major feature or module change
• Validated continuously via drift detection and coverage tracking
• Linked to traceId, testRunId, agentId, and featureId in observability layer

---

📁 Example Path

blueprints/tests/referral-service/test-blueprint.md
blueprints/tests/referral-service/test-blueprint.yaml

---

💡 Summary

Property	Value
🔄 Generated by	Test Case / Test Generator Agents
🧠 Inputs	Product Blueprint, Microservice Blueprint, Features
📄 Outputs	.md, .yaml, .cs, .feature files
📈 Consumed by	QA, Observability, CI/CD, Bug Resolver
🧬 Traceable by	traceId, testScenarioId, blueprintId

---

The Test Blueprint is how software testing becomes codified, intelligent, and automated — not just an afterthought.

---

🎯 Purpose and Position in the Factory

The Test Blueprint plays a foundational role in ConnectSoft’s AI Software Factory, turning quality assurance into an autonomous, traceable, and regenerable process.

It ensures testing is not a post-development activity, but rather a first-class, blueprint-driven layer—triggered directly from product and microservice intents.

---

🎯 Core Purposes

Purpose	Description
✅ Define test scope	Clarify what types of tests are expected, for which features/modules
🧪 Drive test generation	Provide inputs to agents generating .cs, .feature, .yaml files
📈 Enable traceability	Link every test case to features, modules, trace IDs
🔄 Automate feedback	Integrate with CI, QA agents, bug loops, dashboards
🔐 Embed test rules	Include expected coverage, edge cases, failure tolerance
📦 Support packaging and environments	Configure test run conditions (e.g., edition, persona, dependency stubs)

---

🧭 Strategic Placement in the Factory

Test Blueprints are generated as part of the Quality and Validation Layer:

flowchart TD
  ProductBlueprint --> TestBlueprint
  MicroserviceBlueprint --> TestBlueprint
  ModuleBlueprint --> TestBlueprint
  TestBlueprint --> TestGeneratorAgent
  TestBlueprint --> TestCaseGeneratorAgent
  TestBlueprint --> QAEngineerAgent
  TestBlueprint --> CI/CD_Pipeline

Hold "Alt" / "Option" to enable pan & zoom

---

🛠️ Factory Usage Flow

1. 🧠 Generated from upstream artifacts (features, services, modules)
2. 📄 Parsed by Test Generator Agents
3. 🧪 Test stubs and BDD specs created
4. ✅ Validation by QA agents + coverage validators
5. 🚀 Executed in CI pipelines
6. 📊 Results stored in test observability graph
7. 🔁 Regenerated on change

---

📈 Metrics It Enables

Metric	Description
Test coverage score	% of blueprint features/scenarios tested
Feature test depth	Count of scenarios per feature
Drift detection alert count	# of untested or stale scenarios
QA satisfaction level	Manual approval of generated tests

---

🔗 Key Interactions

Blueprint	Role in Test Blueprint
Product Blueprint	Supplies user scenarios, roles, personas
Microservice Blueprint	Defines exported methods, events, APIs
Module Blueprint	Declares reusable logic or testable units
Pipeline Blueprint	Integrates test blueprint into CI test matrix

---

🎯 The Test Blueprint is how quality becomes a programmable, inspectable layer — not an afterthought.

---

🧪 Test Types Covered

The Test Blueprint formally enumerates the testing strategies to be applied across the platform — from unit validations to full regression suites. Each type is described with its purpose, target scope, generator agent, and observability model.

---

🧬 Supported Test Types

Type	Description	Generator Agent
Unit Tests	Validate isolated methods or class behaviors	Test Generator Agent
Integration Tests	Validate interaction between components, adapters, or services	Test Automation Engineer Agent
End-to-End Tests	Validate full workflow across services, UI, DB, etc.	QA Engineer Agent, Test Orchestrator
Scenario Tests	Role-based use case validation from Product Blueprint	Test Case Generator Agent
Contract Tests	Ensure DTOs, API shapes, and event schemas match expectations	Test Coverage Validator Agent
Behavior-Driven Tests (BDD)	Human-readable Given-When-Then scenarios	Test Case Generator Agent
Load/Performance Tests	Assess scalability and response under load	Load/Performance Agent (optional)
Security & Mutation Tests	Simulate attacks, fuzz inputs, assert failure safely	Security Agent, Chaos Agent
Drift Tests	Ensure regenerated output hasn't broken coverage or structure	Diff Agent, QA Engineer Agent

---

🧠 Test Type Declaration Example

testTypes:
  - type: "unit"
    target: "ReferralBuilder"
    required: true
  - type: "bdd"
    targetFeature: "ReferralEmailFlow"
    roles: ["ClinicAdmin", "PetOwner"]
    source: "product-blueprint"
  - type: "integration"
    components: ["ReferralBuilder", "SendgridAdapter"]
    mocks: ["FakeEmailSender"]

---

🧩 Mapping to Inputs

Input Source	Drives These Test Types
Product Blueprint	Scenario Tests, BDD
Microservice Blueprint	Unit, Contract, Integration
Module Blueprint	Unit, Mutation, Composable Function Testing
Pipeline Blueprint	Execution sequencing and matrix setup

---

🧠 Agent Capabilities by Type

Agent	Test Types Generated
Test Generator Agent	Unit, Contract, Integration
Test Case Generator Agent	BDD, Scenario
QA Engineer Agent	Manual approval & feedback
Test Automation Agent	Load/Perf, Orchestration

---

🧪 Test types are not static labels — they are live, regenerable contracts describing the factory’s current quality strategy.

---

👥 Agent Roles and Blueprint Ownership

The Test Blueprint is not authored manually — it is generated, validated, evolved, and executed by a cluster of specialized QA and testing agents in the Factory. Each agent contributes specific capabilities across different phases: definition, generation, execution, and feedback.

---

🧠 Core Agent Participants

Agent	Role in Test Blueprint Lifecycle
🧠 Test Generator Agent	Generates test classes (.cs) and stubs based on microservice/module APIs
🧪 Test Case Generator Agent	Creates .feature files and YAML test specs from product blueprint
🧪 QA Engineer Agent	Reviews test coverage, failure sensitivity, negative paths
🧠 Test Coverage Validator Agent	Calculates actual vs expected coverage %, flags gaps
🧪 Test Automation Engineer Agent	Integrates test blueprint into CI/CD pipelines
🔍 Bug Resolver Agent	Uses test results to auto-file and prioritize bugs
📊 Observability Agent	Collects traces, logs, and result metrics tied to blueprint/test ID

---

🔄 Lifecycle & Collaboration Flow

flowchart TD
  ProductBlueprint --> TestCaseGeneratorAgent
  TestCaseGeneratorAgent --> TestBlueprint
  TestBlueprint --> TestGeneratorAgent
  TestBlueprint --> QAAgent
  TestBlueprint --> CoverageValidatorAgent
  TestBlueprint --> TestAutomationEngineerAgent
  TestBlueprint --> CI
  CI --> BugResolverAgent

Hold "Alt" / "Option" to enable pan & zoom

---

📦 Blueprint Ownership & Metadata

Each Test Blueprint includes metadata that defines its agent provenance and traceability:

metadata:
  generatedBy: "Test Generator Agent v3.1"
  validatedBy: "QA Engineer Agent"
  traceId: "test-blueprint-7f83"
  associatedBlueprints:
    - productBlueprint: "feature-email-flow"
    - serviceBlueprint: "referral-service"

---

🔄 Agent-Specific Contributions

Agent	Input	Output
Test Generator Agent	Service blueprint exports	.cs tests
Test Case Generator Agent	Product roles & scenarios	.feature, .yaml
QA Engineer Agent	Generated tests	Feedback, tags
Coverage Validator Agent	Executed test set	Gaps, drift, reports
Automation Engineer Agent	Test blueprint + pipeline spec	CI hooks

---

👥 Testing is not just a manual QA task — it’s an agentic workflow with traceable ownership and automated enforcement.

---

🧱 Structure of the Blueprint File

A Test Blueprint is composed of multiple layered files, each serving a unique purpose across test planning, execution, coverage, and traceability. These files are structured, consistent, and memory-traceable — enabling regeneration, diffing, and validation across factory runs.

---

📁 Folder Structure Example

blueprints/tests/referral-service/
├── test-blueprint.md
├── test-blueprint.yaml
├── tests/
│   ├── ReferralServiceTests.cs
│   ├── ReferralFeatureTests.feature
│   └── test-execution-matrix.yaml
└── metadata/
    ├── coverage-report.json
    └── blueprint-trace.json

---

🧩 File Purposes

File	Format	Purpose
test-blueprint.md	Markdown	Human-readable spec for Studio and doc publishing
test-blueprint.yaml	YAML	Machine-readable version used by CI agents
*.feature	Gherkin	Role-based Given-When-Then scenarios
*.cs	C#	Auto-generated test class stubs with MSTest or xUnit
test-execution-matrix.yaml	YAML	Describes edition/role/environment combinations to run
coverage-report.json	JSON	Metrics on line, branch, and scenario coverage
blueprint-trace.json	JSON	Trace linkage to upstream blueprints and generated artifacts

---

🧠 Semantically Indexed Sections

All structured sections in .md and .yaml are indexed into:

• 🔎 Vector memory graph (semantic links)
• 🧬 Blueprint registry (hash versioned)
• 📈 CI/CD test history (testRunId, scenarioId)

---

🧠 Sample YAML Block

tests:
  - id: "referral-email-success"
    type: "bdd"
    scenario: "Clinic admin sends referral email"
    feature: "EmailFlow"
    roles: ["ClinicAdmin"]
    input: "Valid referral JSON"
    expected: "Email sent successfully, status updated"
    coverageTags: ["happyPath", "roleBased", "critical"]

---

📦 Included Artifacts Per Run

Each test blueprint generates:

• ✅ Specification
• 🧪 Test cases
• ⚙️ Test execution metadata
• 🧠 Trace + observability tags

These are versioned, diffable, and rendered in Studio with full explanation layers.

---

🧱 The Test Blueprint is not one file — it is a modular package of test intent, logic, and traceability for automated quality engineering.

---

🧠 Traceability Model

Testing in the ConnectSoft AI Software Factory is not just about validation — it's about visibility, lineage, and accountability. The Test Blueprint embeds rich traceability metadata, ensuring every test is anchored to its upstream context, execution environment, and generated artifact history.

---

🔗 Traceability Anchors

Each test declared in the blueprint is linked across the Factory memory graph using a consistent metadata structure:

Anchor Type	Description
traceId	Unique blueprint run trace
testScenarioId	Globally unique ID for scenario (based on role + feature)
featureId	ID of the source product feature
agentId	Which agent generated or modified the test
testRunId	Run/session identifier during CI or Studio test execution
upstreamBlueprints	List of product/service/module blueprints used

---

📄 YAML Example with Full Trace Metadata

tests:
  - id: "clinic-admin-referral-email"
    traceId: "test-4a21"
    testScenarioId: "scenario-ClinicAdmin-EmailFlow"
    featureId: "feature-email-referral"
    generatedBy: "Test Case Generator Agent v3.2"
    relatedBlueprints:
      - product: "product-referrals-v2"
      - microservice: "referral-service-v1.4"

---

🧠 Memory Graph Ingestion

Every test entity is pushed into the AI memory layer using vector and relational indexing:

Layer	Purpose
📘 Document embeddings	Enables semantically similar search
🧬 Test Scenario DB	Fast lookup of feature-role pairs
📊 Observability layer	Tracks pass/fail, drift, coverage
🧠 Context injection	Used by agents to avoid duplicate logic or gaps

---

📦 Cross-System Trace Flow

flowchart LR
  Feature["🧠 Product Feature"]
  Service["🏗️ Microservice"]
  Blueprint["📘 Test Blueprint"]
  Agent["🧠 Generator Agent"]
  Test["🧪 Test Execution"]
  Dash["📊 Dashboard + Alerts"]

  Feature --> Blueprint
  Service --> Blueprint
  Blueprint --> Agent
  Agent --> Test
  Test --> Dash
  Dash --> Blueprint

Hold "Alt" / "Option" to enable pan & zoom

---

🔍 Drift and Regression Tracking

When a product or microservice blueprint changes:

• The Test Coverage Validator checks for orphaned or outdated scenarios
• Drifted test cases are flagged and suggested for regeneration
• Agents validate whether regression coverage remains stable

---

🧠 Traceability ensures every test has a purpose, a parent, and a persistent identity — vital for autonomy and observability.

---

📁 Sample Output Tree

To support automation, traceability, CI/CD integration, and observability, the Test Blueprint produces a structured folder output — with versioned test artifacts, metadata, generated specs, and execution manifests.

This structure ensures each test suite is:

• 🔄 Regenerable (via agents)
• 🧠 Traceable (via IDs and blueprint links)
• 📦 Package-ready (for CI pipelines and Studio)
• 💬 Explainable (human-readable documentation)

---

🗂️ Example Directory Layout

blueprints/
└── tests/
    └── referral-service/
        ├── test-blueprint.md
        ├── test-blueprint.yaml
        ├── test-execution-matrix.yaml
        ├── coverage-report.json
        ├── metadata/
        │   └── blueprint-trace.json
        ├── unit/
        │   └── ReferralBuilderTests.cs
        ├── integration/
        │   └── ReferralEmailIntegrationTests.cs
        ├── bdd/
        │   ├── EmailFlow.feature
        │   └── ReferralFailure.feature
        ├── scenario/
        │   ├── ClinicAdmin-ReferralSent.yaml
        │   └── PetOwner-ReferralView.yaml
        └── common/
            └── TestConstants.cs

---

📂 Folder Breakdown

Folder	Contents
unit/	C# tests for individual components or services (*.cs)
integration/	Multi-component tests using real or fake dependencies
bdd/	Gherkin .feature files for role-based validation
scenario/	YAML specs outlining test logic and expected behavior
metadata/	Traceability, agent provenance, and source blueprint links
common/	Shared mocks, fixtures, test helpers, and test constants

---

📄 File Naming Conventions

File Type	Convention Example
Unit test	ComponentNameTests.cs
BDD scenario	FeatureName.feature
Scenario YAML	Role-Scenario.yaml
Execution Matrix	test-execution-matrix.yaml
Blueprint Spec	`test-blueprint.{md	yaml}`

---

📘 Test Blueprint Entry Point

The blueprint always starts from:

test-blueprint.md
test-blueprint.yaml

These are used by:

• 🧠 Agents for planning and regeneration
• 🧪 QA teams for review
• ⚙️ CI/CD pipelines for test selection and matrix expansion
• 📊 Studio for explanation and trace navigation

---

📁 A well-structured test output tree is the bridge between blueprints, pipelines, and dashboards.

---

🏭 Factory Test Orchestration Flow

In the AI Software Factory, tests are not simply executed — they are planned, generated, validated, and orchestrated through autonomous agents and trace-driven pipelines.

The Test Blueprint acts as the central contract orchestrating this multi-agent, multi-phase workflow.

---

🔄 End-to-End Test Lifecycle

flowchart TD
  ProductBlueprint --> TestCaseGenerator["🧠 Test Case Generator Agent"]
  MicroserviceBlueprint --> TestGenerator["🧠 Test Generator Agent"]
  TestCaseGenerator --> TestBlueprint
  TestGenerator --> TestBlueprint

  TestBlueprint --> Validator["🧠 Test Coverage Validator"]
  TestBlueprint --> QA["🧪 QA Engineer Agent"]
  TestBlueprint --> Pipeline["⚙️ CI/CD Pipeline"]

  Pipeline --> Runner["🧪 Test Execution"]
  Runner --> Results["📊 Test Report & Coverage"]
  Results --> Observability["📈 Dashboards & Alerts"]
  Results --> BugResolver["🛠️ Bug Resolver Agent"]

Hold "Alt" / "Option" to enable pan & zoom

---

🔁 Key Orchestration Phases

Phase	Description
Generation	Blueprint created from product and microservice signals
Scaffold & Spec	.cs, .feature, .yaml files generated and committed
Validation	QA and coverage agents validate test completeness and critical path coverage
Execution	Tests run in CI/CD pipeline using test-execution-matrix.yaml
Observation	Metrics pushed to observability dashboard (pass/fail, coverage, drift)
Correction Loop	Bug Resolver Agent triggers blueprint update if regressions or gaps found

---

🧠 Agentic Coordination Highlights

• No tests are hand-written — all are generated, diffed, or approved by agents.
• Test plans evolve automatically as features, modules, or services change.
• Drift and coverage gaps are continuously scanned and flagged via trace.
• Role-based testing ensures user intent is validated, not just code branches.

---

📦 CI/CD Integration Snapshots

testPipeline:
  runMatrix:
    - edition: "core"
      roles: ["ClinicAdmin", "PetOwner"]
      environments: ["Staging", "Production"]
    - edition: "enterprise"
      roles: ["BackOfficeUser"]
      environments: ["QA"]
  blueprintPath: "blueprints/tests/referral-service/test-blueprint.yaml"

---

🏭 In the Factory, testing is not "run once" — it’s an autonomous workflow, self-healing, memory-linked, and monitored end-to-end.

---

🧪 Role-Based and Persona-Driven Testing

In the AI Software Factory, test blueprints are deeply tied to user roles and personas defined in the product blueprint. This ensures that generated tests validate not only functionality, but also intent, permissions, and user expectations.

---

👤 What Is a Role-Based Test?

A role-based test is a test scenario that explicitly encodes:

• The persona performing the action (e.g., ClinicAdmin, PetOwner)
• The goal the user is trying to achieve
• The expected behavior from the system in that context

These scenarios are critical to validating user experience, authorization logic, and journey coverage.

---

🧠 Blueprint-Driven Persona Injection

The Test Case Generator Agent automatically creates BDD and scenario test cases for every declared persona-feature pair in the Product Blueprint.

personaTests:
  - role: "ClinicAdmin"
    feature: "ReferralEmailFlow"
    scenario: "Sends referral email to specialist"
    expectedOutcome: "Email successfully delivered"
  - role: "PetOwner"
    feature: "ReferralTracking"
    scenario: "Views status of referral"
    expectedOutcome: "Status shown as 'awaiting appointment'"

---

🧪 Generated Artifact Example

Feature: Referral Email Flow

  Scenario: ClinicAdmin sends referral email
    Given I am logged in as a ClinicAdmin
    When I create a referral with valid details
    Then the specialist should receive an email with referral information
    And the referral status should be marked as "Email Sent"

---

👥 Persona-Based Test Categories

Persona	Coverage Area
ClinicAdmin	Referral management, email initiation
BackOfficeUser	Audit logs, configurations, admin portals
PetOwner	Referral tracking, appointment status view
VetSpecialist	Response to referrals, feedback flow

---

🔐 Role-Specific Assertions

Tests automatically include:

• ✅ Access checks (does the role have permission?)
• 🧾 Audit trail verification
• 🔄 Correct workflow triggers (email sent, status updated, etc.)

---

🧠 Memory-Indexed Traceability

Each role-based test is stored with:

• personaId
• featureId
• scenarioId
• testCoverageTag: e.g., roleBased, authZ, criticalPath

These enable regeneration, analytics, and gap detection.

---

👥 Persona-aware testing ensures the platform validates not just logic — but user intent, experience, and journey success.

---

🔄 Regeneration, Drift Detection, and Blueprint Diffing

The AI Software Factory treats testing as a continuously evolving, regenerable asset. As blueprints change (features, services, modules), tests must adapt. The Test Blueprint is designed to detect drift, auto-regenerate outdated scenarios, and enable safe comparison between test generations.

---

🔁 Regeneration Triggers

A Test Blueprint can be regenerated by agents when:

• 🧠 Product, Service, or Module Blueprints change
• ✍️ A new feature or persona is introduced
• 🧪 A test fails consistently or exhibits flaky behavior
• 🧩 QA feedback requests test enhancement
• 📦 Deployment reveals a previously untested flow

---

📊 Drift Detection by Agents

The Test Coverage Validator Agent continuously compares the current test blueprint against:

• The latest product and microservice blueprints
• Previously passed test results and logs
• Trace IDs of features or modules recently updated

If mismatches or untested flows are found, they are flagged as:

Drift Type	Example Detected Gap
missingScenario	Feature has no test coverage for new persona
changedSignature	API parameter added, but test still uses old payload
staleAssertion	Test passes but no longer reflects real user outcome
invalidAuthZ	Role lost access, test still assumes permission

---

🧠 Diffing Model

All Test Blueprints are versioned and stored as diffable, semantic artifacts.

test-blueprint.v1.yaml
test-blueprint.v2.yaml
test-blueprint.v2.diff.json

Diff structure includes:

{
  "addedTests": ["scenario-PetOwner-ReferralView"],
  "removedTests": ["scenario-BackOffice-AuditFlow"],
  "changedTests": {
    "scenario-ClinicAdmin-ReferralEmail": {
      "expectedOutcome": ["Email sent", "Email sent + audit log written"]
    }
  }
}

---

🛠️ Auto-Healing Capabilities

Upon drift detection:

• 🧠 Agents regenerate affected test files
• ❗ If not auto-fixable, they notify QA Engineer Agent
• 📈 Dashboard updates reflect gaps or recovered coverage

---

🧬 Version-Aware Observability

Tests are always run against the latest generated version of the blueprint. Past versions remain available for regression snapshots and debugging historical bugs.

---

🔄 Regeneration and drift detection ensure the Factory never falls out of sync between what’s built and what’s tested.

---

⚙️ Testing in CI/CD and Environment Matrix

Test Blueprints are tightly integrated into the Factory’s CI/CD pipelines, ensuring automated execution across environments, editions, and user roles. This orchestration is governed by the test-execution-matrix.yaml, a central contract for test coverage planning and parallelization.

---

🛠️ Test Matrix Example

testExecutionMatrix:
  editions:
    - name: "core"
      roles: ["ClinicAdmin", "PetOwner"]
      environments: ["Staging", "Production"]
    - name: "enterprise"
      roles: ["BackOfficeUser"]
      environments: ["QA"]
  exclude:
    - role: "BackOfficeUser"
      environment: "Production"

This matrix ensures that:

• Tests are only executed where they make sense
• QA load is optimized across environments
• Edge case coverage is balanced by role and edition

---

🔁 Pipeline Integration Flow

flowchart TD
  CI["Azure DevOps Pipeline"]
  Blueprint["test-blueprint.yaml"]
  Matrix["test-execution-matrix.yaml"]
  Executor["Test Executor Agent"]
  Report["Coverage + Failure Report"]
  Dashboard["Observability Dashboard"]

  CI --> Blueprint
  CI --> Matrix
  Matrix --> Executor
  Executor --> Report
  Report --> Dashboard

Hold "Alt" / "Option" to enable pan & zoom

---

📦 Pipeline Output Artifacts

Artifact	Format	Description
test-results.json	JSON	Pass/fail per test case
coverage-summary.xml	XML	Line, branch, and scenario coverage
test-run-report.md	Markdown	Human-readable Studio report
test-failures.csv	CSV	Quick triage list for bug resolver agent
test-flaky-log.json	JSON	Tracked over time to flag instability

---

📊 Matrix Expansion in Practice

For each matrix cell (edition + role + env), the executor spawns parallel test jobs:

Edition	Role	Environment	Tests Run
core	ClinicAdmin	Staging	Scenario + BDD + Unit
core	PetOwner	Production	Scenario + Integration
enterprise	BackOfficeUser	QA	Scenario + E2E + Audit Flows

---

🧠 Test Execution Tags

Tests are tagged by:

• edition
• role
• env
• testType
• testId
• traceId

This tagging model allows fine-grained dashboard filtering, alert scoping, and cross-run comparisons.

---

⚙️ CI/CD is not an afterthought — it is natively orchestrated by the Test Blueprint and its matrix to ensure full traceable coverage.

---

📈 Observability, Coverage Metrics, and Failure Analytics

Testing in the Factory is not just about execution — it's about visibility, explanation, and continuous improvement. The Test Blueprint defines hooks for telemetry, coverage analysis, and failure diagnostics, enabling deep traceable insights for QA, developers, and orchestrators.

---

🧪 Observability Hooks

Each test run emits structured observability data via:

• 📊 traceId, scenarioId, testRunId
• ✅ Pass/fail result
• 🧠 Root cause or stack trace (if failed)
• ⏱️ Execution duration
• 🔁 Flaky count (per history window)

---

📦 Sample Telemetry Output (JSON)

{
  "testRunId": "run-20250609-1327",
  "testId": "ClinicAdmin-ReferralEmail",
  "result": "Failed",
  "traceId": "test-blueprint-7f83",
  "coverage": {
    "lines": 89,
    "branches": 63,
    "scenarios": 5
  },
  "flakyCount": 2,
  "executionTimeMs": 432,
  "errorSummary": "EmailService not responding"
}

---

📊 Coverage Categories

Metric	Description
Line coverage	% of code lines touched
Branch coverage	% of if/else branches exercised
Scenario coverage	% of product scenarios validated
Persona coverage	% of roles covered in tests
Edition coverage	% of features tested across editions

Coverage reports are available per:

• 🧱 Module
• 🏗️ Microservice
• 👥 Role
• 📦 Edition
• ⏱️ Time window

---

⚠️ Failure Diagnostics & Drift Detection

When a test fails:

1. Root cause is traced using logs, traces, and metrics
2. Blueprint trace is checked for changes upstream
3. Bug Resolver Agent may auto-file issues or request blueprint regeneration

---

📈 Dashboards and Alerts

Observability is visualized via:

• 🔴 Failed test graphs per blueprint, edition, or feature
• 🟡 Flaky test heatmaps
• 🟢 Coverage scorecards per service/module
• 🔁 Regression trend charts over time
• 🧠 Semantic maps of scenario-to-feature-to-code coverage

---

📈 Every test is an insight. Observability transforms them from pass/fail events into strategic quality signals.

---

🛠️ Bug Resolution, Feedback Loop, and Retest Flow

The AI Software Factory transforms test failures into structured feedback — not just for humans, but for the agents that authored the code. This is enabled by the tight loop between test blueprint failures and automated issue handling, managed via specialized QA and Bug Resolution Agents.

---

🧠 Agents Involved in the Loop

Agent	Role
Test Generator Agent	Regenerates missing or broken test artifacts
Bug Resolver Agent	Triages failed tests, maps them to upstream sources
Bug Investigator Agent	Analyzes logs, traces, telemetry for RCA
QA Engineer Agent	Validates resolutions and retriggers test blueprint flows

---

🔁 Resolution Workflow

flowchart TD
  Failure["❌ Test Failure Detected"]
  Logs["🧾 Log/Trace Collection"]
  RCA["🔍 Bug Investigator Agent"]
  Blueprint["📘 Test Blueprint"]
  Fix["🛠️ Code/Config Fix"]
  Retest["🔁 Retest Triggered"]
  Pass["✅ Test Passes"]

  Failure --> Logs
  Logs --> RCA
  RCA --> Blueprint
  Blueprint --> Fix
  Fix --> Retest
  Retest --> Pass

Hold "Alt" / "Option" to enable pan & zoom

---

🐛 Bug Metadata Attached to Failures

failureDetails:
  testId: "ClinicAdmin-ReferralEmail"
  errorType: "UnhandledException"
  rootCause: "NullReferenceException in EmailService"
  linkedFeature: "email-referral"
  bugTraceId: "bug-7382"
  suggestedFix: "Guard clause for null dependency"
  autoFixAvailable: true

---

🔄 Blueprint Update Flow

When the root cause is confirmed:

• ✅ The blueprint is auto-patched (e.g., assertion or scenario update)
• 💬 A Studio message is logged with a change summary
• 🧠 Test Generator Agent regenerates impacted artifacts
• 🔁 Test is queued again in test-execution-matrix.yaml

---

📤 Feedback Channels

Failures and resolutions are logged to:

• 🧾 QA Dashboards (for human review)
• 🧠 Memory graph (for future avoidance)
• 📈 CI/CD logs (for trace audit)

---

🛠️ Bug resolution is not a dead-end — it’s a living feedback loop built into the blueprint itself, accelerating quality from incident to improvement.

---

🔐 Security, Permissions, and Test Access Control

Tests in the Factory aren’t just about functional correctness — they are also security-aware, role-validated, and bound to edition-level permissions. The Test Blueprint encodes all security assumptions and enforces access-aware test generation and execution.

---

🔐 Key Security Aspects in the Test Blueprint

Aspect	Purpose
Role-based test scope	Prevents tests from executing actions users shouldn't have access to
AuthZ assertion tests	Validates that unauthorized roles are denied operations
Secure data mocking	Ensures PII and secrets are masked in test inputs/outputs
Token-based access	Authenticates test API calls using role-specific JWTs
Edition-level visibility	Tests only appear in editions allowed to expose the feature

---

🧠 Security-Aware Test Case Generator Behavior

The Test Generator Agent will:

• Skip generation for roles without access (as defined in the product blueprint)
• Add negative tests to validate forbidden access attempts
• Inject authentication headers into generated API or integration tests
• Emit security audit metadata per test case for traceability

---

🔒 Negative Test Case Example

- id: "PetOwner-CannotDeleteReferral"
  role: "PetOwner"
  scenario: "Tries to delete a referral"
  expectedStatusCode: 403
  expectedOutcome: "Access denied"

---

🧪 Auth & Claims Injection (Integration Test)

var token = await GetTokenAsync(role: "PetOwner");
var client = CreateHttpClientWithToken(token);

var response = await client.DeleteAsync("/api/referrals/1234");

Assert.Equal(HttpStatusCode.Forbidden, response.StatusCode);

---

🔁 Security Test Coverage Reporting

The Test Coverage Validator Agent tracks:

• ✅ Roles with positive + negative coverage
• 🛡️ Features lacking access control assertions
• 🔍 Authorization gaps (e.g. feature test exists but authZ is skipped)

---

🧠 Memory-Indexed Security Tags

Each test is indexed with:

• securityTag: e.g., authz, role-scope, negative-flow
• roleId, featureId, traceId
• accessCheckResult: allowed, denied, unauthenticated

---

🔐 The Test Blueprint ensures security validation is automated, traceable, and role-aware — never an afterthought.

---

🧪 BDD Integration: Gherkin, Feature Files, and Agent Handoff

The Factory uses Behavior-Driven Development (BDD) patterns to enhance traceability, clarity, and collaboration across agents. Each Test Blueprint can include or generate .feature files, authored or enhanced by the Test Case Generator Agent, and optionally reviewed by the QA Engineer Agent.

---

🎯 Why BDD in the Factory?

• ✅ Human-readable syntax (Given–When–Then)
• 🔄 Mirrors persona-based flows in the product blueprint
• 🧩 Maps directly to traceable features and scenarios
• 🔌 Integrates seamlessly with .NET testing via SpecFlow or xBehave

---

📄 Sample Gherkin .feature File

Feature: Referral Status Tracking

  Scenario: PetOwner views referral status
    Given I am logged in as a PetOwner
    And I have a referral with status "awaiting appointment"
    When I open the referral status screen
    Then I should see "awaiting appointment"

---

🧠 Generated by Agent

Step	Agent Responsible
Identify scenario from blueprint	Test Case Generator Agent
Draft feature file	Test Case Generator Agent
Validate persona/role mapping	QA Engineer Agent (optional)
Generate bindings/tests	Test Generator Agent

---

🧩 Feature-to-Test Binding Flow

flowchart TD
  Blueprint["🧠 Test Blueprint"]
  FeatureFile["📘 Gherkin Feature File"]
  StepDefs["🧩 Step Definitions"]
  Tests["🧪 Executable BDD Tests"]

  Blueprint --> FeatureFile
  FeatureFile --> StepDefs
  StepDefs --> Tests

Hold "Alt" / "Option" to enable pan & zoom

Bindings are generated in .cs files or reused from shared libraries such as:

tests/common/bindings/ReferralSteps.cs

---

🔄 Regeneration Support

If the Product Blueprint or Module Blueprint changes:

• 🔁 The Test Case Generator Agent updates the .feature file
• ✅ The Test Generator Agent re-binds or adjusts code-behind files
• 🧠 All changes traced to the original user scenario and blueprint signal

---

📎 Trace Tags for BDD Files

Each feature file includes frontmatter or comments like:

# traceId: test-blueprint-referral-status
# role: PetOwner
# edition: core
# generatedBy: Test Case Generator Agent

---

🧪 BDD enables cross-functional alignment — agents and humans can inspect, approve, or regenerate test cases with clarity and purpose.

---

🔄 Reuse, Shared Fixtures, and Cross-Module Scenario Composition

Test Blueprints promote reuse-first principles, reducing duplication and maximizing maintainability across modules, services, and products. Agents leverage shared fixtures, scenario fragments, and composition rules to build rich, modular, and DRY test suites.

---

🔁 Why Reuse Matters

• 🧩 Shared login/setup logic across tests
• 🔍 Reusable "Given" conditions (e.g., user state, data seeding)
• 📦 Centralized assertions and domain behaviors
• 🔄 Fewer regenerated files when upstream changes occur
• 🧠 Better trace lineage across multiple services

---

🧱 Shared Fixture Architecture

Type	Purpose	Examples
TestFixtureBase.cs	Base test setup for a module or domain	Seed users, init API clients, reset state
SharedScenarioSteps.cs	Reusable Gherkin steps across personas	Given I am logged in as X
DomainAssertions.cs	Centralized helper methods for expected outcomes	AssertReferralStatus("awaiting appointment")
MockedDependencies.cs	Cross-module mocks and stubs	MockEmailSender, FakeQueue

---

📎 Blueprint-Linked Shared Libraries

Each test blueprint can declare its fixture dependencies:

sharedFixtures:
  - tests/common/fixtures/TestFixtureBase.cs
  - tests/common/bindings/SharedScenarioSteps.cs
  - tests/common/assertions/DomainAssertions.cs

Agents use these declarations to:

• Reference shared test logic
• Avoid redundant code generation
• Safely patch broken dependencies across blueprints

---

🔀 Scenario Composition Across Modules

For cross-domain flows (e.g., Referral + Notification + AuditLog), the Test Case Generator Agent can compose:

1. Scenario chain based on multiple module blueprints
2. Step definitions that bridge multiple services
3. Composite trace ID for multi-module traceability

Scenario: ClinicAdmin sends referral and confirms delivery
  Given I create a referral
  Then an email is sent to the specialist
  And an audit log entry is created

---

🔁 Regeneration-aware Reuse

If a shared fixture changes:

• Affected tests are re-linked, not fully regenerated
• Blueprint metadata tracks fixture version and impact scope
• Agents can perform targeted regeneration with trace-based scoping

---

🔄 Reuse is not manual — it’s blueprint-aware, memory-indexed, and orchestrated across services.

---

🧠 Traceability: Feature → Test → Failure → Fix

Traceability is at the heart of the Test Blueprint. Every test is semantically linked to its originating feature, and every failure is traceable back to its source blueprint. This enables deterministic debugging, targeted regeneration, and auditable coverage.

---

📎 End-to-End Trace Chain

Each generated test embeds a trace chain like:

trace:
  featureId: "feature-referral-email"
  scenarioId: "ClinicAdmin-SendsReferralEmail"
  productTraceId: "product-blueprint-vetspire"
  testBlueprintId: "test-blueprint-vetspire-v1"
  generatedBy: "TestCaseGeneratorAgent"
  lastVerifiedBy: "QATestValidatorAgent"

---

🔍 When a Test Fails…

A trace-aware pipeline or agent can answer:

• 🧠 What feature did this come from?
• 🧱 What modules are impacted?
• 🧪 Has this scenario been updated since test creation?
• 🛠️ Is the failure due to a code change, a test gap, or an environment drift?

---

📘 Linked Blueprints

Each test points to:

• 📄 Product Blueprint (features, roles)
• 🧱 Microservice or Module Blueprint (API, handlers, events)
• 🔁 Test Blueprint (version, generator agent)
• 🧾 Logs and run metadata (via trace IDs)

---

🧠 Cross-Agent Debugging

Example use-case:

Test ClinicAdmin-SendsReferralEmail fails → Trace ID found in test logs → Agent fetches matching Product Blueprint → Identifies handler implementation in ReferralService → Resolves recent change introduced by CodeCommitterAgent → Auto-suggests fix via BugResolverAgent

---

🔄 Version-aware Memory Tags

Each trace entry includes:

Field	Description
version	Test + blueprint version at time of run
originTraceId	Generated from what product trace root
affectedEntityId	Domain model or handler name (if linked)
failureFingerprint	Stack trace or exception code (optional)

---

🧠 Traceability transforms testing from passive execution to active architectural intelligence.

---

📦 Test Asset Output Formats and Storage Locations

Tests in the Factory are not ephemeral. Each run, blueprint, and result is materialized as structured output and stored in both short-term and long-term memory. The Test Blueprint defines exactly what gets emitted, where it lives, and how it’s indexed.

---

📂 Output Types

Artifact Type	Format	Description
Test Blueprint	.yaml/.json	Canonical source of test strategy
Executable Tests	.cs/.feature	Test logic in C# or Gherkin
Test Results	.json	Per-run result snapshots
Coverage Reports	.xml/.json	Line, branch, scenario, role coverage
Failure Logs	.log/.json	Stack traces, telemetry links, RCA context
Dashboard Views	.md/.html	Rendered summaries for humans (Studio reports)

---

📁 File Storage Layout

Each test blueprint has a folder:

tests/{service-name|module-name}/
├── test-blueprint.yaml
├── test-blueprint.json
├── scenarios/
│   ├── referral-status.feature
│   └── referral-email.feature
├── bindings/
│   ├── ReferralSteps.cs
├── fixtures/
│   ├── TestFixtureBase.cs
├── results/
│   ├── test-run-20250609.json
├── coverage/
│   ├── coverage-summary.xml
│   └── scenario-matrix.json
├── failures/
│   └── referral-email-failure-20250609.log

---

🧠 Memory and Index Storage

Storage Layer	Use Case
Blob Storage	Store large artifacts, logs, and fixtures
Azure Tables or Cosmos	Index run metadata, trace links
Vector DB	Embed test cases for semantic retrieval
Azure DevOps Artifacts	Pipeline outputs (results, dashboards)
Studio (Markdown)	Human-readable documentation view

---

🔍 Artifact Trace Metadata

All test-related assets embed trace fields like:

traceId: test-blueprint-referral-email
linkedBlueprint: microservice-blueprint-referral
scenarioId: ClinicAdminSendsReferral
generatedBy: TestCaseGeneratorAgent
runId: test-execution-20250609-001

This allows:

• 🔁 Regeneration targeting
• 📈 Coverage diffing
• 🔧 RCA linking
• 🧠 Long-term knowledge injection

---

📦 Tests are not “runtime-only” artifacts — they are first-class, versioned, inspectable, and reusable blueprints.

---

📜 Studio Markdown Rendering and QA Presentation View

Every Test Blueprint includes a Markdown-based rendering designed for QA engineers, test managers, and product stakeholders. This Studio-friendly view enables rich documentation, commentary, and visualizations — aligning agents with human QA review.

---

📄 Markdown Output: Purpose

• 📘 Acts as a readable contract for each test suite
• ✅ Lists all planned, active, and pending test cases
• 🔁 Shows regeneration tags and memory trace links
• 👁️ Supports side-by-side view with feature specs and coverage dashboards

---

📁 Markdown File Naming

tests/{module}/test-blueprint.md

---

🧪 Example Markdown Structure

# 🧪 Test Blueprint: Referral Module

## 🎯 Scope
This blueprint covers all referral lifecycle scenarios for the `ClinicAdmin`, `BackOfficeUser`, and `PetOwner` personas.

---

## 🔍 Scenarios

### ✅ ClinicAdmin sends a referral

- Given: I am logged in as a ClinicAdmin
- When: I send a referral with valid patient details
- Then: A confirmation email is sent to the recipient

🔁 Last run: 2025-06-09 — ✅ Passed  
📎 traceId: `referral-email-CA01`  
👤 Role: ClinicAdmin | ✉️ Feature: ReferralEmail | 🧠 Source: Feature ID #email-scenario-1

---

### ❌ PetOwner attempts to cancel referral

- When unauthorized: Expect HTTP 403
- ⛔ Currently failing — under review by BugResolverAgent
- 📎 failureId: `referral-cancel-FR403`

---

## 📈 Coverage Metrics

| Metric            | % Covered |
|-------------------|-----------|
| Scenarios         | 92%       |
| Roles             | 100%      |
| Editions          | 75%       |

---

## 🛠️ Fixtures and Bindings

- `TestFixtureBase.cs`
- `ReferralSteps.cs`

---

## 📦 Version Info

- `test-blueprint-referral-v1`
- Last Updated: 2025-06-09
- Generated by: `Test Generator Agent`

---

🧠 Presentation Features in Studio

Feature	Description
🔍 Filter by role/module	See only relevant test subsets
⏳ History timeline	View test performance over time
⚠️ Failure hotspots	Highlight flakiness or missing scenarios
🧠 Agent feedback prompts	Ask an agent to regenerate, skip, or rebind
📎 Export to report	Generate .pdf or .docx summary for audits

---

📜 Markdown is the QA-facing lens into the Test Blueprint — combining automation traceability with human clarity.

---

🧠 Prompt Templates and Agent Instructions

Test Blueprints define structured prompt templates used by test-related agents to consistently generate and validate test artifacts. These templates ensure that test generation is aligned with the system's goals, feature semantics, and technical constraints.

---

🎯 Purpose of Prompt Templates

• Guide Test Generator Agent and Test Case Generator Agent with scenario-rich input
• Ensure tests reflect user journeys, system boundaries, and security roles
• Support reproducible generation across environments and versions

---

🧠 Prompt Template Example (Test Case Generation)

{
  "role": "ClinicAdmin",
  "featureId": "referral-email",
  "description": "Ensure referral confirmation emails are sent",
  "given": "A ClinicAdmin has created a valid referral",
  "when": "The referral is submitted",
  "then": "A confirmation email is sent to the recipient",
  "expectedStatusCode": 200,
  "traceTags": ["test-blueprint", "email", "clinicadmin"]
}

---

📦 Prompt Types in the Factory

Template Name	Used By	Description
generate-test-scenario	Test Case Generator Agent	Produces Gherkin or YAML test scenarios
generate-step-bindings	Test Generator Agent	Produces executable C# methods from Gherkin steps
analyze-test-failure	Bug Resolver Agent	Diagnoses failure and recommends fixes or diffs
extend-coverage-for-role	QA Engineer Agent	Fills gaps in role/scenario coverage matrix

---

🔄 Dynamic Prompt Enrichment

Agents enrich templates at runtime with:

• 🎯 Feature-level signals from Product Blueprint
• 🧱 Microservice or Module metadata (handlers, APIs, queues)
• 👤 Role capabilities and edition constraints
• 📈 Historical failure fingerprint for context

---

🧠 Memory-Aware Prompting

Agents reference:

• Previously generated tests (via vector similarity)
• Related scenarios for similar roles or editions
• Known flaky test patterns to avoid duplication

---

🧠 Generated Prompt Trace

Each prompt and result pair is stored with:

promptId: test-case-generator-20250609-001
agent: Test Case Generator Agent
sourceScenarioId: email-notification-vetspire
generatedOn: 2025-06-09
resultType: gherkin-feature
version: v1

---

🧠 Prompt templates are not static scripts — they are adaptive, enriched, and memory-indexed instructions that make test generation intelligent and self-correcting.

---

🔁 Continuous Test Regeneration and Change Detection

The Test Blueprint supports automated, trace-aware regeneration when upstream inputs change — ensuring tests never fall behind the evolving product, module, or architecture.

---

📈 What Triggers Regeneration?

Change Source	Example	Regeneration Scope
Product Blueprint	New feature or updated scenario	Add/update tests
Microservice/Module Blueprint	Modified endpoint, handler, contract	Adjust bindings/tests
Role/Edition Shift	Access revoked or added	Add/remove authorization tests
Regression or Flaky Pattern	Agent detects instability	Patch or rebind test

---

🔁 Regeneration Flow

flowchart TD
  Update["🔁 Detected Change"]
  Blueprint["🧠 Test Blueprint"]
  Agent["Test Generator Agent"]
  Tests["🧪 Regenerated Test Artifacts"]

  Update --> Blueprint --> Agent --> Tests

Hold "Alt" / "Option" to enable pan & zoom

---

🧠 Smart Diffing Before Rewrite

Test agents compare:

• Trace fingerprints
• Feature descriptions
• Step-level deltas
• Execution metadata

Only regenerate delta sections, unless full rehydration is required.

---

📘 Test Blueprint Version Tags

Each regenerated test set is versioned:

version: v3
reason: "Product blueprint updated - referral-email"
originVersion: v2
changes:
  - scenarioUpdated: ClinicAdmin sends referral
  - newScenarioAdded: PetOwner receives referral summary

---

💾 Output of Regeneration

• Updated .feature or .cs files
• Markdown diff in Studio (before/after)
• Optional CI re-run flag
• Auto-comment in QA dashboard trace panel

---

🧩 Coordinated Multi-Agent Regeneration

Agent	Action
Test Case Generator	Rewrites scenario(s)
Test Generator Agent	Rebuilds bindings
Test Coverage Validator	Reassesses coverage deltas
QA Engineer Agent	Optional approval for diff-sensitive areas

---

🔁 Test regeneration is reactive, surgical, and trace-first — ensuring drift never occurs between system evolution and its tests.

---

📈 Test Coverage Matrix and Role-Edition Validation

The Test Blueprint defines and validates a coverage matrix that maps roles, editions, and scenarios to ensure complete testing of access, behavior, and visibility across the platform.

---

🧩 Dimensions of Coverage

Dimension	Description
✅ Roles	Personas (e.g., ClinicAdmin, PetOwner)
🌍 Editions	Platform tiers (e.g., Core, Premium, Mobile)
🎯 Features	Functional use cases from the Product Blueprint
🧪 Scenarios	Test cases derived from role × feature pairs

---

📊 Coverage Matrix Example

Feature	ClinicAdmin	PetOwner	BackOffice	Core Edition	Premium Edition
View Referral	✅	✅	✅	✅	✅
Cancel Referral	✅	❌	✅	✅	✅
Receive Email Notification	✅	✅	❌	✅	✅
Audit Logging	✅	N/A	✅	✅	✅

---

🧠 Who Builds and Verifies It?

Agent	Responsibility
Test Case Generator	Generates matrix entries from Product Blueprint
Test Coverage Validator	Verifies matrix is complete and flag gaps
QA Engineer Agent	Reviews matrix and suggests missing edge cases

---

🔍 Missing Coverage Examples

• ❌ PetOwner lacks tests for a visible but restricted feature
• ❌ Mobile edition has no test coverage for download scenarios
• ❌ A shared scenario is only tested under Core, not Premium

---

🧠 Matrix Metadata Format

feature: referral-email
role: PetOwner
edition: Core
scenarioId: PO-EmailReceipt
coverageStatus: tested
lastVerified: 2025-06-09
sourceTraceId: test-blueprint-vetspire-referral-email

---

📈 Studio View (QA Dashboard)

• ✅ Completed tests per feature/role/edition
• ⚠️ Gaps highlighted with regeneration suggestion buttons
• 📊 Edition-specific coverage heatmap

---

🔄 Matrix-Based Test Prioritization

The Factory can:

• Rank high-risk untested scenarios
• Flag inconsistent coverage between editions
• Trigger regeneration or QA review automatically

---

📈 The coverage matrix is not static — it's active, versioned, validated, and foundational to QA observability.

---

📎 External Test Execution and CI/CD Integration

The Test Blueprint defines how generated tests are executed in external environments such as pipelines, containers, or cloud-native test runners. It integrates with CI/CD systems to automate execution, validation, and reporting.

---

🏗️ Execution Targets

Target Environment	Description
Azure DevOps Pipelines	Default CI runner with stage-based jobs
GitHub Actions	Used in OSS or federated blueprints
Docker Compose Test Harness	Local integration and smoke test validation
Kubernetes Test Pods	E2E tests with real runtime infrastructure
Cloud Test Orchestrator	Event-based or role-driven execution flows

---

⚙️ CI/CD Workflow Steps

Typical steps generated from the blueprint:

- task: InstallTestDeps
- task: CompileTests
- task: RunUnitTests
- task: RunBDDScenarios
- task: GenerateCoverageReport
- task: UploadTestResults
- task: AnalyzeFailures

---

📁 Generated Test Artifacts for CI

Artifact	Location
*.trx, *.json	/artifacts/tests/results/
coverage.xml	/artifacts/tests/coverage/
gherkin/*.feature	/tests/scenarios/
bindings/*.cs	/tests/bindings/
logs/*.log	/tests/failures/

---

🔌 CI Extensions and Triggers

Trigger	Behavior
Commit to Product Blueprint	Partial test regeneration + CI trigger
Push to Microservice Code	Run tests tied to that module
Nightly Regeneration Job	Full revalidation of test blueprints
Edition or Role Drift Detected	Targeted scenario diff and test job

---

📊 Test Dashboard Integration

Tests report back to QA dashboards with:

• ✅ Passed/Failed/Skipped stats
• 📈 Coverage trends
• 🔍 Failure diffs
• 🔁 Trigger buttons to regenerate tests

---

🧠 Agent-Aware Execution Flow

Each test run emits trace metadata:

runId: testrun-20250609-001
triggeredBy: azure-pipelines
sourceBlueprint: test-blueprint-referral
agentVerifier: QATestValidatorAgent
resultStoredAt: /artifacts/tests/results/testrun-20250609-001.json

---

📎 The blueprint ensures that tests are not just written, but continuously executed, observed, and evolved.

---

🛠️ Cross-Agent Collaboration and Observability Hooks

The Test Blueprint is not an isolated artifact — it is deeply integrated with other agents in the Factory through event-driven collaboration, shared memory, and observability signals. Agents use these hooks to coordinate coverage, validate quality, detect regressions, and generate documentation or patches.

---

🤖 Agent Collaborators

Agent	Role in Test Lifecycle
Test Generator Agent	Converts scenarios into runnable test code
Test Case Generator Agent	Derives BDD-style scenarios from product blueprint
Test Coverage Validator	Analyzes gaps in role-feature-edition coverage matrix
QA Engineer Agent	Reviews and verifies blueprint-based outputs
Bug Resolver Agent	Diagnoses test failures and proposes corrective PRs
Microservice Generator Agent	Triggers test regeneration when service contracts change
CI Pipeline Agent	Connects test output with CI jobs and validation steps
Observability Agent	Adds logging, spans, and telemetry to test traces

---

📡 Event Hooks

Test Blueprints are wired to emit and listen to events on the platform event bus:

Event	Emitted By	Consumed By
TestBlueprintUpdated	Test Generator Agent	CI Pipeline Agent, QA Agent
TestScenarioFailed	CI job	Bug Resolver Agent
CoverageGapsDetected	Test Coverage Validator	QA Engineer Agent, Test Generator
BlueprintVersionDiffed	QA Engineer Agent	Test Generator Agent

---

🧠 Observability Tags in Test Runs

Every test and test blueprint includes:

traceId: test-referral-notification
agentId: TestCaseGeneratorAgent
runId: testrun-2025-06-09-001
correlationId: product-blueprint-vetspire-referral
confidenceScore: 0.94
isFlaky: false
firstFailureSeen: 2025-06-09
linkedIssueId: bug-4597

---

📎 Examples of Cross-Agent Behavior

• A flaky test is detected → Observability Agent marks it → Bug Resolver Agent tags scenario → Test Generator Agent regenerates with isolation patch.
• A new edition is introduced → Edition Model Agent emits change → QA Engineer Agent triggers coverage review → new tests generated automatically.
• A feature is refactored → Microservice Generator Agent diff-checks handler signatures → linked tests are flagged for prompt regeneration.

---

🛠️ Test Blueprints don’t just describe tests — they link people, agents, telemetry, and change in a traceable, collaborative, and autonomous loop.

---

✅ Final Summary and Structural Recap

The Test Blueprint serves as the foundational artifact for autonomous, traceable, regenerable, and CI-integrated testing in the ConnectSoft AI Software Factory. It encodes quality—not as a post-process, but as a first-class, generative asset.

---

🧠 What It Represents

• A living contract between Product, Engineering, QA, and AI Agents
• A source of truth for what, how, and why we test — and for whom
• A trace-linked entity with versioning, observability, and regeneration logic
• A semantic blueprint that spans code, BDD, pipelines, dashboards, and knowledge memory

---

📚 Core Sections in a Test Blueprint

Section	Purpose
🔍 Scope & Intent	Defines features, roles, editions, and coverage goals
🧪 Scenario Definitions	BDD-style descriptions of testable flows
🔗 Bindings & Fixtures	Connect scenarios to executable test logic
📈 Coverage Matrix	Tracks testing across personas, editions, and modules
🔁 Regeneration Strategy	Hooks into change detection and blueprint diffs
⚙️ CI/CD Execution Paths	Connects test logic to pipelines and run metadata
🧠 Prompt Templates	Instructional templates for generation agents
📎 Traceability & Observability	Links tests to blueprints, failures, fixes, logs, and memory
📦 Output Formats & Storage	Manages test artifact lifecycle and rendering for Studio

---

🧠 Agent Involvement Overview

Agent	Key Role(s)
Test Case Generator Agent	BDD generation from features
Test Generator Agent	Creates C# or SpecFlow bindings
QA Engineer Agent	Validates blueprint quality and readiness
Bug Resolver Agent	Diagnoses failures and links bugs
Test Coverage Validator	Matrix analysis and gap detection
Microservice Generator Agent	Triggers test regeneration on contract change
CI Pipeline Agent	Integrates tests into automated delivery workflows

---

🧭 Traceable Memory Shape

Memory Type	Contents
Vector Memory	Embedded scenarios, prompts, step templates
Blob Storage	Results, coverage, logs, failure traces
Index Tables	Scenario metadata, trace IDs, change history
Studio View	Markdown render for humans; integrates into QA workflow

---

🔁 Versioning & Regeneration Philosophy

• Every blueprint and its components are immutable and versioned
• Agents can diff, regenerate, or skip based on trace delta
• Every artifact ties back to a source of intention — never just test-by-accident

---

📘 Final Thoughts

The Test Blueprint isn’t about just running tests. It’s about ensuring the Factory continuously knows what should work, for whom, under what constraints — and how to prove it.