To this end, based upon a motivated selection of a conventional and multi-leveling approach of choice for a well-documented reference model you draw a systematic comparison – specifically as this pertains the specificities of reference models.Īs a point of departure, initially the focus will be on NISTIR 7628, which is a well-established reference model for smart grid cybersecurity. The purpose of this master thesis is to make a systematic comparison between conventional meta modeling approaches and multi-level modeling approaches for the purposes of reference modeling. As a result, to model reference models with multiple levels of abstraction, which is typical for industry reference models like the NISTIR 7628, requires (i) workarounds, and (ii) in general comes with a set of inherent limitations which inhibit capitalizing on the full potential of reference modeling. In particular these language architectures often do not treat abstraction as a first class citizen. However, the creation of reference models comes with several challenges.Īs pointed out in de Kinderen & Kaczmarek-Heß (2019) these challenges partly can be traced to the language architecture underlying reference models. ![]() As a result, reference models remain a topic of active interest for both practice and academia, as reflected in relatively recent industry reference models like the NISTIR 7628 for smart grid cybersecurity (NIST Smart Grid Cybersecurity Panel, 2010). Reference models hold several promises, like capitalizing on already encoded domain expertise instead of developing a domain model from scratch. ![]() ![]() Reference models are conceptual models which focus commonalities of organizations, within or across industries and/or application domains (Thomas, 2005). Englischer Titel: Towards Multi-level Reference Models - comparing conventional and multi-level approaches for the creation and use of reference models Towards Multi-level Reference Models - comparing conventional and multi-level approaches for the creation and use of reference models Art der Arbeit:
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