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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/" } } }