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Testing Strategy

This document outlines our testing approach for ensuring the quality, reliability, and performance of the MOOD MNKY platform.

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Testing Principles

Our testing strategy is built on these core principles:
  • Shift Left: Test early and often throughout the development lifecycle
  • Automation First: Automate tests wherever possible for consistency and efficiency
  • Risk-Based: Focus testing efforts on high-impact and high-risk areas
  • Full Coverage: Test at all levels from unit to end-to-end
  • Consumer-Driven: Base test cases on actual user journeys and requirements

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Testing Pyramid

We follow the testing pyramid approach to balance testing types:
  • Many Unit Tests: Fast, focused, testing individual functions and components
  • Some Integration Tests: Testing interactions between components
  • Few E2E Tests: Testing complete user flows and critical paths

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Test Types

  • Unit Tests
  • Integration Tests
  • E2E Tests
Purpose: Verify individual functions, methods, and components work correctly in isolationTools:
  • Frontend: Jest, Vue Test Utils, React Testing Library
  • Backend: Jest, Mocha, pytest
Best Practices:
  • Focus on testing logic, not implementation details
  • Use mocks for external dependencies
  • Aim for high code coverage (>80%)
  • Keep tests fast and isolated
// utils/formatCurrency.test.ts
import { formatCurrency } from './formatCurrency';

describe('formatCurrency', () => {
  it('formats USD correctly', () => {
    expect(formatCurrency(1234.56, 'USD')).toBe('$1,234.56');
  });

  it('formats EUR correctly', () => {
    expect(formatCurrency(1234.56, 'EUR')).toBe('€1,234.56');
  });

  it('handles zero values', () => {
    expect(formatCurrency(0, 'USD')).toBe('$0.00');
  });

  it('handles negative values', () => {
    expect(formatCurrency(-1234.56, 'USD')).toBe('-$1,234.56');
  });
});

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Specialized Testing

Approach: Comprehensive testing of API endpoints for functionality, reliability, and securityTools:
  • Postman collections for manual testing
  • Supertest for automated API tests
  • OpenAPI validation for contract testing
Test Scenarios:
  • Positive and negative test cases
  • Authentication and authorization
  • Rate limiting and throttling
  • Error handling and status codes
  • Request validation
  • Response schema validation
Documentation: All API tests should be documented and maintained alongside the API specification
Approach: Regular testing to ensure the system meets performance requirements under various conditionsTools:
  • K6 for load testing
  • Lighthouse for frontend performance
  • New Relic for monitoring and profiling
Test Types:
  • Load testing (normal operating conditions)
  • Stress testing (beyond normal capacity)
  • Soak testing (extended duration)
  • Spike testing (sudden increase in load)
Key Metrics:
  • Response time (average, 95th percentile)
  • Throughput (requests per second)
  • Error rate
  • Resource utilization (CPU, memory, network)
  • Time to First Byte (TTFB)
  • Core Web Vitals (LCP, FID, CLS)
Approach: Regular security testing to identify and address vulnerabilitiesTools:
  • OWASP ZAP for automated scanning
  • SonarQube for code analysis
  • npm audit / Snyk for dependency scanning
Test Types:
  • Static Application Security Testing (SAST)
  • Dynamic Application Security Testing (DAST)
  • Dependency scanning
  • Penetration testing (quarterly)
Focus Areas:
  • Authentication and authorization
  • Data protection and privacy
  • Input validation and sanitization
  • Session management
  • API security
  • Dependency vulnerabilities
Approach: Ensure applications are accessible to all users, including those with disabilitiesTools:
  • Axe for automated accessibility testing
  • WAVE for visual accessibility testing
  • Lighthouse for accessibility audits
Standards:
  • WCAG 2.1 AA compliance
Testing Methods:
  • Automated testing (integrated in CI/CD)
  • Manual testing with screen readers
  • Keyboard navigation testing
  • Color contrast verification

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Testing in CI/CD

1

Continuous Integration

All code changes trigger automated tests through GitHub Actions:
  • Linting and static analysis
  • Unit tests
  • Integration tests
  • Code coverage reporting
  • Performance budget verification
PRs cannot be merged without passing all CI checks.
2

Pre-deployment Testing

Before deployment to staging:
  • API contract tests
  • Database migration tests
  • Security scans
  • Performance tests (basic)
Failures block deployment to staging.
3

Staging Environment

After deployment to staging:
  • Automated E2E tests
  • Smoke tests
  • Manual exploratory testing
  • User acceptance testing
Issues block promotion to production.
4

Production Verification

After deployment to production:
  • Smoke tests on production
  • Canary testing for high-risk deployments
  • Synthetic monitoring
  • Observability validations

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Test Data Management

Test Data Strategy

Approaches:
  • Test fixtures: Small, purpose-built datasets for unit tests
  • Factories: Dynamic test data generation using tools like Faker
  • Anonymized production data: For realistic integration testing
  • Seeded databases: Consistent starting point for all tests
Best Practices:
  • Isolate test data between test runs
  • Reset state before each test
  • Use realistic but anonymized data
  • Avoid dependencies between tests
  • Store test data separately from test logic

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Testing Standards

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Testing Responsibilities

Developers

  • Write and maintain unit tests
  • Write integration tests for services
  • Run tests locally before pushing code
  • Fix failing tests in CI
  • Follow test-driven development when appropriate

QA Engineers

  • Develop and execute test plans
  • Write and maintain E2E tests
  • Perform exploratory testing
  • Create performance test scenarios
  • Verify accessibility compliance

DevOps

  • Maintain test infrastructure
  • Ensure test reliability in CI/CD
  • Monitor test metrics and trends
  • Optimize test execution time
  • Setup production monitoring

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Test Documentation

Maintain comprehensive test documentation:
  • Test Plans: Document test objectives, scope, approach, and resources
  • Test Cases: Detailed steps, expected results, and prerequisites
  • Test Reports: Results, defects found, and coverage metrics
  • Test Strategy: Overall testing approach and standards (this document)

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Conclusion

Our testing strategy is designed to ensure high-quality software releases while balancing thoroughness with efficiency. By following these guidelines, we aim to deliver a robust, reliable platform that meets our users’ needs and expectations.
This document should be reviewed and updated quarterly to incorporate new testing techniques, tools, and changing project requirements.