ISO/IEC 25059:2023
Software engineering - Systems and software Quality Requirements and Evaluation (SQuaRE) - Quality model for AI systems
This document outlines a quality model for AI systems and is an application-specific extension to the standards on SQuaRE. The characteristics and sub-characteristics detailed in the model provide consistent terminology for specifying, measuring and evaluating AI system quality. The characteristics and sub-characteristics detailed in the model also provide a set of quality characteristics against which stated quality requirements can be compared for completeness.
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Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
3.1 General
3.2 Product quality
3.3 Quality in use
4 Abbreviated terms
5 Product quality model
5.1 General
5.2 User controllability
5.3 Functional adaptability
5.4 Functional correctness
5.5 Robustness
5.6 Transparency
5.7 Intervenability
6 Quality in use model
6.1 General
6.2 Societal and ethical risk mitigation
6.3 Transparency
Annex A (informative) SQuaRE
Annex B (informative) How a risk-based approach relates to a quality-based approach and quality models
Annex C (informative) Performance
Bibliography
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Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
3.1 General
3.2 Product quality
3.3 Quality in use
4 Abbreviated terms
5 Product quality model
5.1 General
5.2 User controllability
5.3 Functional adaptability
5.4 Functional correctness
5.5 Robustness
5.6 Transparency
5.7 Intervenability
6 Quality in use model
6.1 General
6.2 Societal and ethical risk mitigation
6.3 Transparency
Annex A (informative) SQuaRE
Annex B (informative) How a risk-based approach relates to a quality-based approach and quality models
Annex C (informative) Performance
Bibliography