Testing & Quality Assurance

[CallMarcus]

Phase 3: Testing & Quality Assurance

Comprehensive testing to ensure the packaged version works correctly across different environments and Python versions.

Local Package Testing:

• Test local installation with pip install -e .
• Validate package imports: from domain_security_analyzer import DomainAnalyzer
• Test CLI entry point: domain-analyzer --help
• Test CLI functionality: domain-analyzer examples/domains.txt test-output.csv
• Verify all 29 CSV columns generate correctly
• Test module execution: python -m domain_security_analyzer

Cross-Platform Compatibility:

• Windows: Test on Windows 10/11 with Python 3.7+
• Linux: Test on Ubuntu/Debian with Python 3.7+
• macOS: Test on macOS with Python 3.7+
• WSL: Test on Windows Subsystem for Linux

Python Version Compatibility:

• Python 3.7: Test minimum supported version
• Python 3.8: Test LTS version
• Python 3.9: Test popular version
• Python 3.10: Test current stable
• Python 3.11: Test latest version

Feature Validation:

• SRI Scanning: Test with known SRI-enabled websites
• DNS Analysis: Validate SPF, DKIM, DMARC detection
• Subdomain Discovery: Test common subdomain enumeration
• Parallel Processing: Test with various worker counts (1, 5, 20, 50)
• Large Datasets: Test with 100+ domains
• Error Handling: Test with invalid domains and network timeouts

Dependency Testing:

• Clean virtual environment installation
• Verify all dependencies install correctly:
  • dnspython>=2.4.0
  • requests>=2.28.0
  • beautifulsoup4>=4.11.0
• Test with minimal Python installation (no extra packages)
• Validate requirements.txt accuracy

Performance Testing:

• Benchmark analysis speed: 100 domains in <5 minutes
• Memory usage validation: <100MB for 50 concurrent workers
• CSV generation accuracy: All 29 columns populated correctly
• Network timeout handling: Graceful failure for unreachable domains

Test Scenarios:

# Test various domain types
domain-analyzer mixed-domains.txt output.csv 10

# Test edge cases
echo "nonexistent.invalid" | domain-analyzer /dev/stdin edge-test.csv

# Test large dataset
domain-analyzer fortune500-domains.txt enterprise-test.csv 25

Acceptance Criteria:

• Package installs cleanly on all supported platforms
• All core functionality works identically to script version
• Performance meets or exceeds current benchmarks
• SRI scanning produces accurate results across test cases
• No regressions in existing DNS analysis features
• Error handling is robust and informative

Priority: High - Critical before PyPI release