Performance test planning in Testing Fundamentals - Framework Patterns

Framework Mode - Performance test planning

Folder Structure for Performance Test Planning Project

performance-testing-project/
├── test-plans/
│   ├── load-test-plan.md
│   ├── stress-test-plan.md
│   └── endurance-test-plan.md
├── scripts/
│   ├── load-tests/
│   │   ├── login-load-test.jmx
│   │   └── checkout-load-test.jmx
│   ├── stress-tests/
│   │   └── api-stress-test.jmx
│   └── endurance-tests/
│       └── long-run-test.jmx
├── reports/
│   ├── load-test-report-2024-06-01.html
│   └── stress-test-report-2024-06-01.html
├── config/
│   ├── environments.yaml
│   ├── users.yaml
│   └── thresholds.yaml
├── utils/
│   └── data-generators.py
└── README.md

Test Framework Layers for Performance Test Planning

• Test Plans: Documents describing objectives, scenarios, metrics, and environment details.
• Test Scripts: Automated scripts that simulate user load and actions (e.g., JMeter scripts).
• Configuration: Files defining environments, user profiles, and performance thresholds.
• Utilities: Helper scripts for data generation, result parsing, or environment setup.
• Reports: Generated test results showing performance metrics and analysis.

Configuration Patterns in Performance Test Planning

• Environment Configuration: Use YAML or JSON files to define test environments (e.g., dev, staging, production-like) with URLs, servers, and ports.
• User Profiles: Define different user types and their behavior patterns in separate config files for realistic load simulation.
• Thresholds and Limits: Set performance goals like max response time or error rate in config files to automate pass/fail decisions.
• Parameterization: Use variables in scripts to easily switch environments or user data without changing the script code.

Test Reporting and CI/CD Integration

• Automated Reports: Generate HTML or CSV reports after test runs showing key metrics like response times, throughput, and errors.
• Trend Analysis: Store reports over time to track performance improvements or regressions.
• CI/CD Integration: Integrate performance tests into pipelines (e.g., Jenkins, GitHub Actions) to run tests on code changes or deployments.
• Alerts: Configure notifications if performance thresholds are not met to quickly inform the team.

Best Practices for Performance Test Planning Framework

1. Clear Objectives: Define what to measure and why before writing tests to focus efforts effectively.
2. Realistic Scenarios: Model user behavior and load patterns that reflect actual usage for meaningful results.
3. Reusable Configurations: Separate environment and user data from scripts to simplify maintenance and updates.
4. Automate Reporting: Use tools to generate and archive reports automatically for easy review and history tracking.
5. Integrate Early: Include performance tests in CI/CD pipelines to catch issues early and often.

Self-Check Question

Where in this folder structure would you add a new test script for a spike test scenario?

Key Result

Organize performance test plans, scripts, configs, and reports clearly to enable realistic, automated, and maintainable performance testing.