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Whitepaper: Machine Intelligence Quality Characteristics

Rik Marselis
November 17, 2020

Check the original paper here.

This is the second in a series of papers focused on testing of Artificial Intelligence (AI). The paper is now available in French. It will give further insight into the test techniques and methodologies for ensuring AI quality, and it will identify the quality characteristics and their testing in this fast-changing area of IT.

In this second paper, we define software quality, introduce a generic taxonomy of quality characteristics, discuss the connections between these characteristics, and discuss future work leading to a quality-characteristics-based methodology for evaluating software architectures.

The key premise of this paper is that there is a need to extend the existing model of quality characteristics with new quality characteristics specifically for AI and robotics.

Download here for the French version

Our French colleague Fethi Mebrouk has taken the initiative to translate this paper to French. A special thank you to Fethi.


Fethi MEBROUK is an experienced coach and consultant in Quality Assurance at Sogeti France in the field of Digital Assurance and Testing. Fethi supports clients in their transformation, improvement and industrialization of their quality process. It also helps them in their approach to Continuous Testing and Agility at Scale (SAFe ®).

About the author

Quality and Testing expert | Netherlands
Rik Marselis is principal quality consultant at Sogeti in the Netherlands. He has assisted many organizations in improving their IT-processes, in establishing their quality & testing approach, setting up their quality & test organization, and he acted as quality coach, QA-consultant, test manager and quality supervisor.


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