Verification and Validation: Difference between revisions

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== IoT Perspective ==
== IoT Perspective ==
== AIoT Perspective ==
[[File:2.6-QAforAIoT.png|800px|frameless|center|QA for AIoT]]
== Agile V-Model for AIoT ==
== Agile V-Model for AIoT ==

Revision as of 21:37, 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

AIoT Perspective

QA for AIoT

Agile V-Model for AIoT