Testing Strategy

Part of: MPAC SmartPOS Cloud Platform - Product RequirementsVersion: 2.0 Last Updated: 2026-01-28

Overview

This section defines the comprehensive testing strategy for the MPAC SmartPOS Cloud Platform, covering all testing levels from unit tests to compliance audits. The testing approach ensures code quality, performance at scale (15,000 RPS, 400,000+ devices), security compliance (PCI DSS, SOC 2, GDPR), and system reliability through automated and manual testing procedures.

Testing Pyramid

                    /\
                   /  \
                  / E2E \           Security & Compliance Audits
                 /______\           (Annual/Bi-annual)
                /        \
               /  Integ.  \         Load & Performance Testing
              /____________\        (Pre-release + Continuous)
             /              \
            /  Integration   \      API Integration Tests
           /_____ Tests _____\     (CI/CD Pipeline)
          /                  \
         /    Unit Tests      \    Component Tests
        /______________________\   (Every PR)

Testing Categories

1. Unit Testing

Individual component and function testing with mocked dependencies.

Coverage:

Python (pytest): Business logic 80-90%, Security code 95-100%
Go (go test): Package-level testing with table-driven tests
Frontend (Vitest/Jest): React component and hook testing

Execution:

Run on every pull request
Automated in CI/CD pipeline
Fast feedback (< 5 minutes)

📄 Read Unit Testing Documentation

2. Integration Testing

Multi-component and service-to-service interaction testing.

Coverage:

API integration flows (order → bill → payment)
Database migration validation (forward/backward)
Service messaging (NATS event flows)
Cache consistency (Redis invalidation)
WebSocket communication

Execution:

Run on merge to develop/main branches
Requires test infrastructure (Docker Compose)
Medium feedback (10-20 minutes)

📄 Read Integration Testing Documentation

3. Load Testing

Performance and scalability validation under production-scale loads.

Scenarios:

Device Authentication Storm (10,000 concurrent devices)
Peak Hour Transaction Load (15,000 RPS for 1 hour)
Payment Gateway Load (5,000 concurrent payments)
Settlement Spike (1,000 simultaneous settlements)

Execution:

Quarterly performance regression tests
Pre-release load validation
Staging environment (production-scale)

📄 Read Load Testing Documentation

4. Security Testing

Vulnerability assessment and compliance validation.

Automated Scans:

Dependency scanning (OWASP, Snyk) - Weekly
Container image scanning (Trivy) - Per build
Static analysis (Bandit, gosec) - Per PR

Manual Testing:

Annual penetration testing (third-party)
Authentication/authorization bypass testing
SQL injection and XSS validation

Compliance:

PCI DSS Level 1 audit (Annual)
SOC 2 Type II audit (Annual)
GDPR review (Bi-annual)

📄 Read Security Testing Documentation

Testing Tools by Stack

Backend (Python - svc-portal)

bash

# Unit tests
uv run pytest tests/unit/ --cov=mpac --cov-report=html

# Integration tests
uv run pytest tests/integration/ -v

# Security scanning
uv run bandit -r mpac/ -f json -o bandit-report.json
uv run safety check

Backend (Go - svc-smarttab, mpac-pgw)

bash

# Unit tests with coverage
go test ./... -cover -coverprofile=coverage.out
go tool cover -html=coverage.out

# Integration tests
go test ./tests/integration/... -v

# Security scanning
gosec -fmt=json -out=gosec-report.json ./...

Frontend (React/TypeScript)

bash

# Unit tests
pnpm test

# Coverage report
pnpm test:coverage

# E2E tests (if implemented)
pnpm test:e2e

Load Testing (JMeter/Gatling)

bash

# Run JMeter test plan
jmeter -n -t load-test.jmx -l results.jtl -e -o report/

# Run Gatling simulation
./gatling.sh -s PeakHourSimulation

CI/CD Integration

GitHub Actions Workflow

yaml

name: Test Suite

on: [push, pull_request]

jobs:
  unit-tests:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Run unit tests
        run: |
          cd mpac-smartpos/svc-portal
          uv run pytest tests/unit/ --cov=mpac

  integration-tests:
    needs: unit-tests
    runs-on: ubuntu-latest
    services:
      postgres:
        image: postgres:15
        env:
          POSTGRES_DB: mpac_test
    steps:
      - name: Run integration tests
        run: |
          uv run pytest tests/integration/

  security-scan:
    runs-on: ubuntu-latest
    steps:
      - name: Run Snyk scan
        uses: snyk/actions/python@master
        env:
          SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}

      - name: Run Trivy container scan
        uses: aquasecurity/trivy-action@master
        with:
          image-ref: 'mpac/svc-portal:${{ github.sha }}'
          severity: 'CRITICAL,HIGH'

Test Coverage Requirements

Component	Unit Test Coverage	Integration Coverage	Security Scan	Load Test
svc-portal	85% (95% security code)	✅ API flows	✅ Bandit, Snyk	✅ Auth storm
svc-smarttab	80%	✅ NATS, WebSocket	✅ gosec	✅ Peak load
mpac-pgw	80%	✅ Payment flows	✅ gosec	✅ Payment load
Frontend	75%	✅ E2E critical paths	✅ ESLint security	❌ N/A

Testing Best Practices

1. Test Isolation

Each test should be independent and idempotent
Use fixtures and factories for test data generation
Clean up test data after execution (or use transactions with rollback)

2. Realistic Test Data

Use representative data volumes (not just happy path with 1 record)
Include edge cases (empty lists, null values, boundary conditions)
Mirror production data distributions

3. Fast Feedback Loop

Unit tests should complete in < 5 minutes
Fail fast: Run fastest tests first
Parallelize test execution where possible

4. Flaky Test Management

Zero tolerance for flaky tests in main branch
Quarantine flaky tests immediately
Fix or remove (don't ignore)

5. Test Documentation

Document test purpose in docstrings
Explain complex test setup
Link to related requirements or tickets

Testing Schedule

Activity	Frequency	Duration	Owner
Unit tests	Every PR	< 5 min	Developer
Integration tests	Every merge to develop	10-20 min	CI/CD
Load tests	Quarterly + Pre-release	2-4 hours	DevOps
Penetration test	Annual (Q2)	6 weeks	Security team
PCI DSS audit	Annual (Q3)	8 weeks	Compliance team
SOC 2 audit	Annual (Q4)	6 months	Compliance team
GDPR review	Bi-annual (Q1, Q3)	2 weeks	Legal + Security

Security Architecture - Security design and controls
Performance & Scalability - Scale architecture
Deployment Architecture - Infrastructure setup
CI/CD Pipeline - Automated testing integration

Document Index

Unit Testing - Component-level testing with coverage targets
Integration Testing - Service integration and API flow validation
Load Testing - Performance testing at production scale
Security Testing - Vulnerability scanning and compliance audits

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Testing Strategy ​

Overview ​

Testing Pyramid ​

Testing Categories ​

1. Unit Testing ​

2. Integration Testing ​

3. Load Testing ​

4. Security Testing ​

Testing Tools by Stack ​

Backend (Python - svc-portal) ​

Backend (Go - svc-smarttab, mpac-pgw) ​

Frontend (React/TypeScript) ​

Load Testing (JMeter/Gatling) ​

CI/CD Integration ​

GitHub Actions Workflow ​

Test Coverage Requirements ​

Testing Best Practices ​

1. Test Isolation ​

2. Realistic Test Data ​

3. Fast Feedback Loop ​

4. Flaky Test Management ​

5. Test Documentation ​

Testing Schedule ​

Related Documentation ​

Document Index ​

Navigation ​

Testing Strategy

Overview

Testing Pyramid

Testing Categories

1. Unit Testing

2. Integration Testing

3. Load Testing

4. Security Testing

Testing Tools by Stack

Backend (Python - svc-portal)

Backend (Go - svc-smarttab, mpac-pgw)

Frontend (React/TypeScript)

Load Testing (JMeter/Gatling)

CI/CD Integration

GitHub Actions Workflow

Test Coverage Requirements

Testing Best Practices

1. Test Isolation

2. Realistic Test Data

3. Fast Feedback Loop

4. Flaky Test Management

5. Test Documentation

Testing Schedule

Related Documentation

Document Index

Navigation