Testing Examples

Scripts for testing Claude Flow functionality and validating system features.

Directory Structure

04-testing/
├── unit/           # Unit tests for individual components
├── integration/    # Integration tests for workflows
├── performance/    # Performance benchmarks
├── sparc/          # SPARC-specific tests
├── sparc-swarm-test.sh    # Original SPARC test suite
└── test-swarm-cli.sh      # Original CLI tests

Test Categories

Unit Tests (unit/)

• test-memory-system.sh: Complete memory system unit tests
  • Store, query, update, delete operations
  • Bulk operations and stats
  • Export/import functionality
  bashCopy

  cd examples/04-testing/unit
  ./test-memory-system.sh
  

Integration Tests (integration/)

• test-workflow-execution.sh: End-to-end workflow testing
  • Workflow execution verification
  • Output validation
  • Error handling
  • Resource cleanup
  bashCopy

  cd examples/04-testing/integration
  ./test-workflow-execution.sh
  

Performance Tests (performance/)

• benchmark-swarm.sh: Performance benchmarking suite
  • Execution time measurements
  • Resource usage analysis
  • Performance recommendations
  bashCopy

  cd examples/04-testing/performance
  ./benchmark-swarm.sh
  

Original Test Files

sparc-swarm-test.sh

Comprehensive SPARC TDD test suite (235 lines)

• Tests all SPARC modes
• Validates TDD workflow
• Memory integration tests

test-swarm-cli.sh

CLI functionality tests (129 lines)

• Command validation
• Strategy testing
• Error handling

Running Tests

# Run full SPARC test suite
./sparc-swarm-test.sh

# Run CLI tests
./test-swarm-cli.sh

# Verbose mode for debugging
./sparc-swarm-test.sh --verbose

# Test specific strategy
./test-swarm-cli.sh --strategy development

Test Coverage

SPARC Modes Tested

• spec-pseudocode: Requirements and pseudocode
• architect: System design
• tdd: Test-driven development
• code: Implementation
• debug: Troubleshooting
• security-review: Vulnerability scanning
• integration: System integration

Strategies Tested

• development: Building applications
• research: Information gathering
• analysis: Code quality review
• testing: Test creation
• optimization: Performance tuning

Features Validated

• Multi-agent coordination
• Task scheduling
• Memory persistence
• Quality thresholds
• Error recovery
• Progress monitoring

Writing New Tests

When adding tests:

1. Follow existing test structure
2. Use clear test names
3. Include both positive and negative cases
4. Test edge conditions
5. Verify output quality
6. Check performance impact

Test Utilities

Both scripts include helper functions:

• run_test: Execute test with timing
• check_output: Validate results
• assert_equals: Value comparison
• assert_contains: String matching
• measure_performance: Timing checks