AuthorsS. Ali
TitleUncertainty Taxonomy for Cyber-Physical Systems
AfilliationSoftware Engineering
Project(s)U-Test: Testing Cyber-Physical Systems under Uncertainty: Systematic, Extensible, and Configurable Model-based and Search-based Testing Methodologies
Publication TypeMiscellaneous
Year of Publication2016

Uncertainty is inherent in Cyber-Physical Systems (CPS). Dealing with uncertainty in CPS in a cost-effective manner is imperative for their reliable operations. Since designing, developing, and testing modern and highly sophisticated CPS is an expanding field, a step towards supporting handling uncertainty is to identify, define, and classify uncertainties at various levels of CPS. This will help develop a systematic and comprehensive understanding of uncertainty. To that end, we propose a taxonomy of uncertainty specifically designed for CPS. Since the study of uncertainty in CPS development and testing is still irrelatively unexplored, this taxonomy was derived in a large part by reviewing existing work on uncertainty in other fields, including philosophy, physics, statistics, and healthcare. The taxonomy is mapped to the three logical levels of CPS: Application, Infrastructure, and Integration.


This is a public deliverable of the U-Test project (Deliverable D1.2).

Citation Key24665

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