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See detailEA anamnesis An Approach for Decision Making Analysis in Enterprise Architecture
Plataniotis, Georgios; De Kinderen, Sybren UL; Proper, Hendrik A.

in International Journal of Information System Modeling and Design (2014), 4(1),

Enterprise Architecture (EA) modeling languages can express the business-to-IT-stack for an organization, showing how changes in the IT landscape impact business aspects and vice versa. Yet EA languages ... [more ▼]

Enterprise Architecture (EA) modeling languages can express the business-to-IT-stack for an organization, showing how changes in the IT landscape impact business aspects and vice versa. Yet EA languages provide only the final architectural design, not the rationale behind this design. In earlier work, we presented the EA Anamnesis approach for EA rationalization. We discussed how EA Anamnesis forms a complement to current EA modeling languages, showing for example design alternatives, EA artifact selection criteria and the decision making strategy that was used. In this paper, we extend EA Anamnesis with a capability for organizational learning. In particular, we present an integration of two viewpoints presented in earlier work: (1) an ex-ante decision making viewpoint for rationalizing EA during decision making, which for example captures a decision and its anticipated consequences, and (2) an ex-post decision making viewpoint, which for example captures the unanticipated decision consequences, and possible adjustments in criteria. We use a fictitious, yet realistic, case study to illustrate our approach. [less ▲]

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See detailConformance Analysis of Organizational Models: A New Enterprise Modeling Framework using Algebraic Graph Transformation
Brandt, Christoph; Hermann, Frank UL

in International Journal of Information System Modeling and Design (2013), 4(1), 42-78

Organizational models play a key role in today’s enterprise modeling. They usually show up as partial models produced in a distributed and non-synchronized fashion by people with different conceptual ... [more ▼]

Organizational models play a key role in today’s enterprise modeling. They usually show up as partial models produced in a distributed and non-synchronized fashion by people with different conceptual understandings. For this reason, there is a major need to organize partial organizational models within a suitable modeling framework, and, moreover, to check their mutual conformance. This builds the basis to integrate the partial organizational models later on into one holistic model of the organization and for model checking certain security, risk, and compliance constraints. In order to attain this goal, the authors present two mutually aligned contributions. The first one is a new enterprise modeling framework—the EM-Cube. The second one is a new approach for checking conformance of models based on the suggested formal modeling technique associated with the proposed framework. They evaluate the potential solution against concrete requirements derived from a real-world scenario coming out of the finance industry. [less ▲]

Detailed reference viewed: 99 (7 UL)