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Software Requirements Engineering for AI Systems
Elicitation, analysis, and specification techniques adapted for AI and ML projects, where requirements are …Software Quality Assurance for AI/ML Projects
Quality planning, metrics, and gates adapted for AI and ML projects where outputs are probabilistic and data …Software Development Lifecycle (SDLC)
The structured process of planning, creating, testing, and deploying software systems through defined phases.Shift-Left Testing for ML Systems
Moving testing earlier in the development lifecycle for ML projects: TDD for pipelines, contract-first APIs, …Release Management - Cadences, Trains, and Versioning
Release cadences, release trains, and semantic versioning automation for software and AI/ML systems.Waterfall MethodologyThe Scrum FrameworkThe Agile Manifesto
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