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

Abstract

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.