test-data-management
Strategic test data generation, management, and privacy compliance. Use when creating test data, handling PII, ensuring GDPR/CCPA compliance, or scaling data generation for realistic testing scenarios.
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- proffesor-for-testing/agentic-qe
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- 2026년 9월 27일 15:26
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소스 지침 · 읽기 전용 미리보기- name
- test-data-management
- description
- Strategic test data generation, management, and privacy compliance. Use when creating test data, handling PII, ensuring GDPR/CCPA compliance, or scaling data generation for realistic testing scenarios.
- category
- specialized-testing
- priority
- high
- tokenEstimate
- 1000
- agents
- ["qe-test-data-architect","qe-test-executor","qe-security-scanner"]
- implementation_status
- optimized
- optimization_version
- 1
- last_optimized
- 2025-12-02T00:00:00.000Z
- dependencies
- []
- quick_reference_card
- true
- tags
- ["test-data","faker","synthetic","gdpr","pii","anonymization","factories"]
- trust_tier
- 3
- validation
- {"schema_path":"schemas/output.json","validator_path":"scripts/validate-config.json","eval_path":"evals/test-data-management.yaml"}
# Test Data Management
<default_to_action>
When creating or managing test data:
1. NEVER use production PII directly
2. GENERATE synthetic data with faker libraries
3. ANONYMIZE production data if used (mask, hash)
4. ISOLATE test data (transactions, per-test cleanup)
5. SCALE with batch generation (10k+ records/sec)
**Quick Data Strategy:**
- Unit tests: Minimal data (just enough)
- Integration: Realistic data (full complexity)
- Performance: Volume data (10k+ records)
**Critical Success Factors:**
- 40% of test failures from inadequate data
- GDPR fines up to €20M for PII violations
- Never store production PII in test environments
</default_to_action>
## Quick Reference Card
### When to Use
- Creating test datasets
- Handling sensitive data
- Performance testing with volume
- GDPR/CCPA compliance
### Data Strategies
| Type | When | Size |
|------|------|------|
| **Minimal** | Unit tests | 1-10 records |
| **Realistic** | Integration | 100-1000 records |
| **Volume** | Performance | 10k+ records |
| **Edge cases** | Boundary testing | Targeted |
---
## Data Anonymization
```javascript
// Masking
function maskEmail(email) {
const [user, domain] = email.split('@');
return `${user[0]}***@${domain}`;
}
// john@example.com → j***@example.com
function maskCreditCard(cc) {
return `****-****-****-${cc.slice(-4)}`;
}
// 4242424242424242 → ****-****-****-4242
// Anonymize production data
const anonymizedUsers = prodUsers.map(user => ({
id: user.id, // Keep ID for relationships
email: `user-${user.id}@example.com`, // Fake email
firstName: faker.person.firstName(), // Generated
phone: null, // Remove PII
createdAt: user.createdAt // Keep non-PII
}));
```
---
## Database Transaction Isolation
```javascript
// Best practice: use transactions for cleanup
beforeEach(async () => {
await db.beginTransaction();
});
afterEach(async () => {
await db.rollbackTransaction(); // Auto cleanup!
});
test('user registration', async () => {
const user = await userService.register({
email: 'test@example.com'
});
expect(user.id).toBeDefined();
// Automatic rollback after test - no cleanup needed
});
```
---
## Agent-Driven Data Generation
```typescript
// High-speed generation with constraints
await Task("Generate Test Data", {
schema: 'ecommerce',
count: { users: 10000, products: 500, orders: 5000 },
preserveReferentialIntegrity: true,
constraints: {
age: { min: 18, max: 90 },
roles: ['customer', 'admin']
}
}, "qe-test-data-architect");
// GDPR-compliant anonymization
await Task("Anonymize Production Data", {
source: 'production-snapshot',
piiFields: ['email', 'phone', 'ssn'],
method: 'pseudonymization',
retainStructure: true
}, "qe-test-data-architect");
```
---
## Agent Coordination Hints
### Memory Namespace
```
aqe/test-data-management/
├── schemas/* - Data schemas
├── generators/* - Generator configs
├── anonymization/* - PII handling rules
└── fixtures/* - Reusable fixtures
```
### Fleet Coordination
```typescript
const dataFleet = await FleetManager.coordinate({
strategy: 'test-data-generation',
agents: [
'qe-test-data-architect', // Generate data
'qe-test-executor', // Execute with data
'qe-security-scanner' // Validate no PII exposure
],
topology: 'sequential'
});
```
---
## Related Skills
- [database-testing](../database-testing/) - Schema and integrity testing
- [compliance-testing](../compliance-testing/) - GDPR/CCPA compliance
- [performance-testing](../performance-testing/) - Volume data for perf tests
---
## Remember
**Never use production PII directly.** Always use synthetic data or properly anonymized production snapshots.
**With Agents:** `qe-test-data-architect` generates 10k+ records/sec with realistic patterns, relationships, and constraints. Agents ensure GDPR/CCPA compliance automatically and eliminate test data bottlenecks.
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