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Test quality validation through mutation testing, assessing test suite effectiveness by introducing code mutations and measuring kill rate. Use when evaluating test quality, identifying weak tests, or proving tests actually catch bugs.
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基于 SOC 职业分类
| name | mutation-testing |
| description | Test quality validation through mutation testing, assessing test suite effectiveness by introducing code mutations and measuring kill rate. Use when evaluating test quality, identifying weak tests, or proving tests actually catch bugs. |
| category | specialized-testing |
| priority | high |
| tokenEstimate | 900 |
| agents | ["qe-test-generator","qe-coverage-analyzer","qe-quality-analyzer"] |
| implementation_status | optimized |
| optimization_version | 1 |
| last_optimized | 2025-12-02T00:00:00.000Z |
| dependencies | [] |
| quick_reference_card | true |
| tags | ["mutation","stryker","test-quality","kill-rate","assertions","effectiveness"] |
<default_to_action> When validating test quality or improving test effectiveness:
Quick Mutation Metrics:
Critical Success Factors:
| Score | Interpretation |
|---|---|
| 90%+ | Excellent test quality |
| 80-90% | Good, minor improvements |
| 60-80% | Needs attention |
| < 60% | Significant gaps |
| Category | Original | Mutant |
|---|---|---|
| Arithmetic | a + b | a - b |
| Relational | x >= 18 | x > 18 |
| Logical | a && b | a || b |
| Conditional | if (x) | if (true) |
| Statement | return x | (removed) |
// Original code
function isAdult(age) {
return age >= 18; // ← Mutant: change >= to >
}
// Strong test (catches mutation)
test('18 is adult', () => {
expect(isAdult(18)).toBe(true); // Kills mutant!
});
// Weak test (mutation survives)
test('19 is adult', () => {
expect(isAdult(19)).toBe(true); // Doesn't catch >= vs >
});
// Surviving mutant → Test needs boundary value
# Install
npm install --save-dev @stryker-mutator/core @stryker-mutator/jest-runner
# Initialize
npx stryker init
Configuration:
{
"packageManager": "npm",
"reporters": ["html", "clear-text", "progress"],
"testRunner": "jest",
"coverageAnalysis": "perTest",
"mutate": [
"src/**/*.ts",
"!src/**/*.spec.ts"
],
"thresholds": {
"high": 90,
"low": 70,
"break": 60
}
}
Run:
npx stryker run
Output:
Mutation Score: 87.3%
Killed: 124
Survived: 18
No Coverage: 3
Timeout: 1
// Surviving mutant: >= changed to >
function calculateDiscount(quantity) {
if (quantity >= 10) { // Mutant survives!
return 0.1;
}
return 0;
}
// Original weak test
test('large order gets discount', () => {
expect(calculateDiscount(15)).toBe(0.1); // Doesn't test boundary
});
// Fixed: Add boundary test
test('exactly 10 gets discount', () => {
expect(calculateDiscount(10)).toBe(0.1); // Kills mutant!
});
test('9 does not get discount', () => {
expect(calculateDiscount(9)).toBe(0); // Tests below boundary
});
// Analyze mutation score and generate fixes
await Task("Mutation Analysis", {
targetFile: 'src/payment.ts',
generateMissingTests: true,
minScore: 80
}, "qe-test-generator");
// Returns:
// {
// mutationScore: 0.65,
// survivedMutations: [
// { line: 45, operator: '>=', mutant: '>', killedBy: null }
// ],
// generatedTests: [
// 'test for boundary at line 45'
// ]
// }
// Coverage + mutation correlation
await Task("Coverage Quality Analysis", {
coverageData: coverageReport,
mutationData: mutationReport,
identifyWeakCoverage: true
}, "qe-coverage-analyzer");
aqe/mutation-testing/
├── mutation-results/* - Stryker reports
├── surviving/* - Surviving mutants
├── generated-tests/* - Tests to kill mutants
└── trends/* - Mutation score over time
const mutationFleet = await FleetManager.coordinate({
strategy: 'mutation-testing',
agents: [
'qe-test-generator', // Generate tests for survivors
'qe-coverage-analyzer', // Coverage correlation
'qe-quality-analyzer' // Quality assessment
],
topology: 'sequential'
});
High code coverage ≠ good tests. 100% coverage but weak assertions = useless. Mutation testing proves tests actually catch bugs.
Focus on critical paths first. Don't mutation test everything - prioritize payment, authentication, data integrity code.
With Agents: Agents run mutation analysis, identify surviving mutants, and generate missing test cases to kill them. Automated improvement of test quality.