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Cognitive architecture for AI-augmented software development with structured memory, ensemble validation, and closed-loop correction. FAIR-aligned artifacts, 84% cost reduction via human-in-the-loop, standards adopted by 100+ organizations.
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{
"name": "testing-quality",
"version": "1.0.0",
"description": "Testing enforcement, quality metrics, and automation skills",
"category": "sdlc",
"skills": [
"tdd-enforce",
"mutation-test",
"flaky-detect",
"flaky-fix",
"generate-factory",
"test-sync"
],
"dependencies": [],
"research_basis": {
"tdd": {
"source": "Kent Beck (2002)",
"reference": "Test-Driven Development by Example"
},
"coverage": {
"source": "Google Testing Blog (2010)",
"reference": "https://testing.googleblog.com/2010/07/code-coverage-goal-80-and-no-less.html"
},
"mutation": {
"source": "ICST Mutation Workshop",
"reference": "https://conf.researchr.org/home/icst-2024/mutation-2024"
},
"flaky": {
"source": "Google (2016) + FlaKat (2024)",
"reference": "https://arxiv.org/abs/2403.01003"
},
"factories": {
"source": "ThoughtBot FactoryBot + Faker.js",
"reference": "https://fakerjs.dev/"
}
}
}