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Towards an Expert System for Identifying and Reducing Unnecessary Complexity of IT Architectures

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2017

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Gesellschaft für Informatik, Bonn

Zusammenfassung

Over the course of time, IT architectures in business environments grow and often include a range of different architectural variants. This causes various redundancies and a high level of IT complexity leading to higher costs and increased effort for evolving and maintaining the entire IT landscape. In this paper, we propose a concept for a rule based system that analyzes the variability within IT architectures automatically and supports experts in identifying and reducing the architecture’s complexity by eliminating unnecessary architectural variants.

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Wehling, Kenny; Schaefer, Ina (2017): Towards an Expert System for Identifying and Reducing Unnecessary Complexity of IT Architectures. INFORMATIK 2017. DOI: 10.18420/in2017_152. Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-669-5. pp. 1523-1529. ASE – 15. Workshop Automotive Software Engineering. Chemnitz. 25.-29. September 2017

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