Abstract | ||
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Enterprise Architecture (EA) analysis is an important tool for leveraging EA models. However, due to the diverse nature of the EA field, analysis techniques must be able to deal with variability caused by different modeling standards as well as their adaption to specific organizational needs. Additionally, the definitions of the relevant measures often vary between different stakeholders and organizations. To address these challenges we propose a (meta) model independent framework for the analysis of architecture models. Based on a generic representation of architectural data, we employ a data-flow based analysis approach to enable a context-sensitive evaluation of organization specific measures. We demonstrate the generic applicability of this framework through a re-implementation of three different analyses from literature. |
Year | DOI | Venue |
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2014 | 10.1109/EDOCW.2014.42 | Enterprise Distributed Object Computing Conference Workshops and Demonstrations |
Keywords | DocType | ISSN |
business data processing,EA analysis,EA field,EA models,architectural data,architecture models,context sensitive evaluation,data flow based analysis,enterprise architecture analysis,generic representation,independent framework,unified framework,Architecture Analysis,Data flow analysis,Enterprise Architecture,Meta Model | Conference | 2325-6583 |
Citations | PageRank | References |
3 | 0.47 | 14 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
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Melanie Langermeier | 1 | 20 | 6.00 |
Christian Saad | 2 | 16 | 3.42 |
Bernhard Bauer | 3 | 33 | 8.26 |