Abstract
Modeling Enterprise Architecture (EA) requires the representation of multiple views for an enterprise. This could be done by a team of stakeholders having different backgrounds. The enterprise model built by the team consists of a large number of model elements capturing various aspects of the enterprise. To deal with this high complexity, each stakeholder of the team may want to view only a certain aspect of the enterprise model of her interest. Essentially, the stakeholders need a modeling framework for their EA modeling. We devise a visual modeling language and develop a supporting tool called SeamCAD. Instead of managing a list of ill-related diagrams, the tool manages a coherent enterprise model and generates diagrams on demand, i.e. based on the stakeholders’ modeling scope and interests. The notation of the SeamCAD language was based on the Unified Modeling Language and comes with distinctive layout for the purposes of visually and explicitly showing hierarchical containment in the diagrams. We also report industrial applications of our tool and language in this paper. We position our work at the intersection of information visualization and enterprise information management.
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Notes
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We use an ad-hoc, self-explanatory notation in this initial representation. A regular rectangle represents either a business entity or an IT system. A rounded rectangle can be attached to a regular rectangle to represent the main service offered by the business entity or the IT system drawn under the regular rectangle. The smile symbol stands for individuals. The lines connecting these entities and individuals denote the containment hierarchy. Later on in the paper, we present the UML-based notation of our visual language.
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We are of course not interested in representing the internals of human being while modeling EA.
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In Sect. 4.3, we present how the last requirement is met.
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Homepage of Archimate www.archimate.nl.
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Lê, LS. (2015). Multi-diagram Representation of Enterprise Architecture: Information Visualization Meets Enterprise Information Management. In: Dang, T., Wagner, R., Küng, J., Thoai, N., Takizawa, M., Neuhold, E. (eds) Future Data and Security Engineering. FDSE 2015. Lecture Notes in Computer Science(), vol 9446. Springer, Cham. https://doi.org/10.1007/978-3-319-26135-5_16
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