Test Plan: Performance & Load Testing

1. Introduction

This test plan covers performance testing, load testing, and scalability verification for the MemberVu application. These tests ensure the application remains responsive and stable under real-world usage conditions and peak load scenarios.

2. Scope

• Large Dataset Operations: Response times with large data volumes
• Bulk Operations: Processing efficiency for batch operations
• Broadcast Scale: Email sending at high volumes
• Export Operations: File generation and download performance
• UI Responsiveness: Frontend rendering with large datasets
• Database Query Performance: Query optimization verification

3. Test Schedule

Phase: 7

Days: 19-21

Priority: MEDIUM-HIGH

4. Test Cases

5. Performance Benchmarks

5.1 Response Time Thresholds

5.2 Scalability Targets

5.3 Resource Utilization Thresholds

6. Prerequisites

6.1 Test Data Setup

To properly test performance, the test environment must be seeded with:

6.2 Data Generation Script

# Run performance test data seeding
npm run seed:performance

Or with specific volumes
npm run seed:performance -- --members=50000 --invoices=200000

6.3 Test Environment

7. Measurement Methodology

7.1 Client-Side Measurements

1. Time to Interactive (TTI): Using Chrome DevTools Performance tab
2. First Contentful Paint (FCP): Using Performance API
3. Largest Contentful Paint (LCP): Using web-vitals library
4. Memory Usage: Chrome DevTools Memory tab
5. Network Waterfall: Chrome DevTools Network tab

7.2 Server-Side Measurements

1. API Response Time: Measured from request received to response sent
2. Database Query Time: Logged in development/staging environments
3. Memory Usage: Server monitoring dashboard
4. CPU Utilization: Server monitoring dashboard

7.3 Measurement Protocol

For each test case:

1. Clear browser cache before testing
2. Perform operation 3 times
3. Record all 3 measurements
4. Use median value for reporting
5. Note any anomalies

8. Pass/Fail Criteria

8.1 Individual Test Pass Criteria

• Response time within "Acceptable" threshold
• No JavaScript errors in console
• No server errors (5xx responses)
• UI remains responsive (no frozen state > 1 second)
• Memory does not exceed warning threshold
• Operation completes successfully

8.2 Overall Pass Criteria

• 90% of test cases pass
• No "Critical" threshold violations
• No data corruption or loss
• System recovers gracefully from any failures

9. Browser/Environment Considerations

9.1 Browser-Specific Testing

9.2 Network Conditions

10. Risk Areas

1. Database Pagination: N+1 query problems with large datasets
2. Virtual Scrolling: Memory leaks with infinite scroll
3. Bulk Email: Rate limiting and queue management
4. PDF Generation: Memory spikes with complex documents
5. CSV Export: Streaming vs buffering for large files
6. Real-time Updates: WebSocket performance under load

11. Test Execution Tips

11.1 Baseline Establishment

Before performance testing:

1. Run tests with minimal data (100 records)
2. Record baseline measurements
3. Compare against large dataset results
4. Calculate performance degradation factor

11.2 Identifying Bottlenecks

1. Use Chrome DevTools Performance profiler
2. Identify long tasks (> 50ms)
3. Check for layout thrashing
4. Monitor memory allocation patterns
5. Review network request waterfall

11.3 Documentation

For each test run, record:

• Date/time
• Environment (local/staging)
• Data volumes
• Browser version
• Test results
• Screenshots of DevTools
• Any anomalies observed

12. Dependencies

• Database must be seeded with performance test data
• Server monitoring must be accessible
• No other users accessing test environment during load tests
• Email service configured for broadcast testing (use MailHog for local)

13. Related Documentation

• DATA_MODEL.md - Database schema
• ARCHITECTURE.md - System architecture
• TC_EDGE_002_CONCURRENCY.md - Concurrency tests