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1.3Components of a Test Strategy Document
1. Scope and Objectives
Define what the strategy covers and what success looks like.
SCOPE:
Product: ShopFlow e-commerce platform (web + mobile + API)
Includes: All customer-facing features, partner integrations, admin tools
Excludes: Third-party payment processor internals (tested via contract tests)
OBJECTIVES:
- Prevent critical defects from reaching production
- Maintain release cadence of weekly deployments
- Achieve > 90% automated regression coverage for core user journeys
- Detect performance regressions before they affect customers
2. Test Levels and Approach
Define which types of testing you will perform and the balance between them.
| Test Level | Scope | Owned By | Automation Target |
|---|---|---|---|
| Unit tests | Individual functions and methods | Developers | > 80% line coverage |
| Integration tests | Service-to-service communication, database queries | Developers + QA | All API contracts |
| End-to-end tests | Critical user journeys through the full stack | QA | Top 20 user journeys |
| Exploratory testing | Edge cases, usability, unexpected behavior | QA | Manual (by definition) |
| Performance testing | Load, stress, endurance | QA + DevOps | Automated in CI for key endpoints |
| Security testing | OWASP Top 10, authentication, authorization | QA + Security | SAST in CI, DAST quarterly |
| Accessibility testing | WCAG 2.1 AA compliance | QA + Design | Automated scans in CI, manual audit quarterly |
3. Test Environments
| Environment | Purpose | Data | Refresh Frequency |
|---|---|---|---|
| Local | Developer testing, unit tests | Mocked/seeded | Per developer session |
| CI | Automated test execution | Synthetic, reset per run | Every pipeline run |
| Staging | Integration testing, QA verification | Anonymized production subset | Weekly |
| Pre-production | Final validation, performance testing | Production mirror | Before each release |
| Production | Smoke tests, monitoring | Real data (read-only tests) | After each deployment |
4. Tools
| Category | Tool | Purpose |
|---|---|---|
| Test automation | Playwright | Browser automation for E2E tests |
| API testing | REST Assured / Supertest | API functional and contract tests |
| Performance | k6 | Load testing and performance benchmarks |
| Test management | TestRail | Test case management and reporting |
| CI/CD | GitHub Actions | Pipeline orchestration |
| Monitoring | Datadog | Production health and alerting |
| Bug tracking | JIRA | Defect lifecycle management |
5. Risk Assessment
Identify the highest-risk areas and allocate testing effort accordingly.
| Feature Area | Business Impact | Change Frequency | Complexity | Risk Level | Test Investment |
|---|---|---|---|---|---|
| Checkout / Payment | Critical | Medium | High | HIGH | Automated E2E + manual edge cases |
| User Authentication | Critical | Low | Medium | HIGH | Automated E2E + security testing |
| Product Search | High | High | Medium | HIGH | Automated E2E + performance testing |
| Admin Dashboard | Medium | Medium | Low | MEDIUM | Automated smoke + manual |
| Marketing Pages | Low | High | Low | LOW | Automated visual + accessibility |
6. Entry and Exit Criteria
Entry criteria (testing can begin when):
- Code is deployed to the test environment
- Test data is available and validated
- Dependencies (external services, APIs) are accessible
- Test environment health check passes
Exit criteria (testing is complete when):
- All critical and high-priority test cases executed
- Zero open critical bugs, fewer than 3 open major bugs
- Automated regression suite passes with less than 2% flake rate
- Performance benchmarks meet defined thresholds
- Product owner sign-off on acceptance criteria