Test pyramid decision matrix, coverage targets, when to write which test type, mock vs real dependency decisions, and test ROI analysis.
Scanned 5/29/2026
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---
name: test-strategy
description: Test pyramid decision matrix, coverage targets, when to write which test type, mock vs real dependency decisions, and test ROI analysis.
---
# Test Strategy
## Test Pyramid Ratio Guidance
```
/\
/e2e\ ~10% — critical user flows only
/------\
/ integ \ ~20% — API contracts, DB interactions
/------------\
/ unit \ ~70% — pure logic, transformations, edge cases
/--------------\
```
Keep the pyramid right-side-up. Inverting it (too many e2e) leads to slow, flaky CI.
## Decision Matrix: Task Type → Test Type
| Task Type | Test Type | Tool |
|-----------|-----------|------|
| Pure function / utility | Unit | Jest / Vitest |
| API endpoint | Integration | Supertest / httpx |
| Critical user flow | E2E | Playwright |
| Data transformation | Property-based | fast-check / Hypothesis |
| React/Vue component | Component | Testing Library |
| CLI command | Integration | execa + assertions |
| Database query | Integration (real DB) | jest + pg / pytest |
| Cron job / scheduler | Unit (mocked time) | Jest fakeTimers |
## Mock vs Real Dependency Decision Tree
```
Is it an external API (Stripe, Sendgrid, etc.)?
→ YES: Always mock. Use recorded fixtures or MSW.
Is it a database?
→ Unit test context: mock (in-memory store or jest.fn())
→ Integration test context: real DB (test container or local)
Is it the file system?
→ Mock with memfs or tmp dir, then clean up.
Is it time / Date.now()?
→ Always mock. Use Jest fakeTimers or freezegun (Python).
Is it a third-party SDK wrapper you wrote?
→ Skip testing the wrapper itself, test your code's behavior.
```
## Coverage Targets by Project Type
| Project Type | Branch Coverage | Notes |
|-------------|----------------|-------|
| Published library | 90%+ | Every exported function needs tests |
| Production app | 80%+ | Focus on critical paths |
| Internal tool | 70%+ | Happy path + main error cases |
| Prototype / spike | Skip | Throw it away anyway |
| Generated code | Skip | Don't test codegen output |
## Test Naming Conventions
### Jest / Vitest (describe + it)
```typescript
describe('calculateDiscount', () => {
it('returns 10% for gold members', () => { ... })
it('returns 0% when cart is empty', () => { ... })
it('throws when discount rate exceeds 100', () => { ... })
})
```
### Given-When-Then (BDD style)
```typescript
describe('OrderService', () => {
describe('given a confirmed order', () => {
describe('when the user cancels', () => {
it('then it transitions to CANCELLED state', () => { ... })
it('then it sends a cancellation email', () => { ... })
})
})
})
```
## When NOT to Test
- Generated code (Prisma client, GraphQL types, protobuf outputs)
- Third-party SDK wrappers with zero custom logic
- Trivial getters/setters (`getEmail() { return this.email }`)
- Config files
- Framework boilerplate (Next.js `_app.tsx`, Express server bootstrap)
## Test Isolation Strategies
### Transaction rollback (PostgreSQL)
```typescript
beforeEach(async () => {
await db.query('BEGIN')
})
afterEach(async () => {
await db.query('ROLLBACK')
})
```
### Cleanup hooks
```typescript
afterEach(() => {
jest.clearAllMocks() // clear call counts
jest.resetAllMocks() // reset return values
jest.restoreAllMocks() // restore spied originals
})
```
### Test containers (real DB, isolated)
```typescript
import { PostgreSqlContainer } from '@testcontainers/postgresql'
let container: StartedPostgreSqlContainer
beforeAll(async () => {
container = await new PostgreSqlContainer().start()
process.env.DATABASE_URL = container.getConnectionUri()
})
afterAll(async () => {
await container.stop()
})
```
## Flaky Test Triage
When a test is flaky (passes/fails non-deterministically):
1. Check for shared mutable state (global variables, singleton caches)
2. Check for missing `await` on async calls
3. Check for time-dependent assertions (`setTimeout`, `Date.now()`)
4. Check for ordering dependencies (tests relying on previous test state)
5. Add `--runInBand` to isolate and confirm
## Mutation Testing (Stryker)
Mutation testing verifies that your tests actually catch bugs:
```bash
npx stryker run
```
```json
// stryker.config.json
{
"mutator": { "excludedMutations": ["StringLiteral"] },
"thresholds": { "high": 80, "low": 60, "break": 50 },
"reporters": ["html", "progress"]
}
```
Mutation score < 60% means tests pass without catching real logic errors. Focus on the surviving mutants — each one is an untested code path.
## Test ROI Analysis
High ROI (write these first):
- Business logic with branching conditions
- Error handling paths
- Data validation functions
- State machine transitions
Low ROI (write last or skip):
- Simple CRUD with no custom logic
- Pass-through adapters
- Logging statements
- UI cosmetic details
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