P320 - Software Engineering 2022

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Konferenzbeitrag
Orthogonal Uncertainty Model: Documenting Uncertainty in the Engineering of Cyber-Physical Systems
(Software Engineering 2022, 2022) Bandyszak, Torsten; Daun, Marian; Tenbergen, Bastian; Kuhs, Patrick; Wolf, Stefanie; Weyer, Thorsten
In this talk, we present our contribution ''Orthogonal Uncertainty Modeling in the Engineering of Cyber-Physical Systems'' published in IEEE Transactions on Automation Science and Engineering in July 2020 [Ba20]. We have proposed a modeling language for ''Orthogonal Uncertainty Models'' (OUMs). OUMs constitute a dedicated, central artifact to document, analyze, understand, and discuss potential uncertainties that may occur during operation. Thereby, OUMs support the systematic consideration of potential uncertainties the system might face during operation. OUMs allow documenting various aspects of uncertainty (e.g., cause and effect) in a dedicated artifact. Trace links are used to relate uncertainty to, e.g., system requirements across different model-based artifacts. We have applied OUMs to an industrial case study from the industry automation domain.