Fuzzy Architecture Description for Handling Uncertainty in IoT Systems-of-Systems

Uncertainty is intrinsically associated with the architectural design of Software-intensive Systems-of-Systems (SoS) by its very nature, e.g. in Intelligent Transportation Systems (ITS). The consequent research question is thereby how to represent uncertainty in the description of an SoS architecture and subsequently use that representation to reason about SoS architectural properties. To address this research issue in the Internet-of-Things (IoT), this paper investigates the notion of epistemic uncertainty (i.e. uncertainty due to partial knowledge) in the architectural design of IoT SoSs and proposes to enhance an existing SoS Architecture Description Language, named SosADL, with fuzzy concepts and constructs underlain by Fuzzy Theory, demonstrating its effectiveness in SoS platooning architectures of self-driving vehicles.