2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS)
Download PDF

Abstract

Large organizations critically rely on their IT infrastructure. So called Enterprise Architecture (EA) models are often created to understand how the IT supports the business and used to optimize the IT and align it with the business. However, the models grow very large and are hard to keep up-to-date. Current approaches focus on automated data collection to tackle this problem, which is not feasible in many situations. In this paper we present a semi-automated EA documentation method and tool support that tackles this problem and takes the organizational contexts into account.
Like what you’re reading?
Already a member?
Get this article FREE with a new membership!

Related Articles