Verification and Validation: Difference between revisions

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== Foundation: V-Model ==
== Foundation: V-Model ==
[[File:2.6-VModel.png|600px|frameless|center|V-Model]]
[[File:2.6-VModel.png|600px|frameless|center|V-Model]]
[[File:2.6-VModelSOA.png|800px|frameless|center|V-Model and Componentization]]


== AI Perspective ==
== AI Perspective ==

Revision as of 21:35, 9 September 2020

Ignite AIoTArtificial IntelligenceInternet of ThingsBusiness ModelProduct ArchitectureDevOps & InfrastructureTrust & SecurityReliability & ResilienceVerification & ValidationIgnite AIoT - Artificial Intelligence

Ignite AIoT: Verification & Validation

Verification and validation (V&V) are critical components of a quality management system (QMS), implemented to ensure that the product meets the requirements and specifications. Verification typically addresses the question "Am I building the product right?", while validation is addressing the question "Am I building the right product?".

V&V for AIoT-based products has to take the specifics of AI and IoT into consideration, which is my Ignite AIoT is focusing on V&V, assuming that most organizations have overarching QM Systems which can be adapted to fit the needs of an AIoT-specific V&V approach.

Quality Assurance for AIoT

QA for AIoT

Foundation: V-Model

V-Model
V-Model and Componentization

AI Perspective

QA for AI

IoT Perspective

Agile V-Model for AIoT