Title :
A situational method for semi-automated enterprise architecture documentation (SoSyM abstract)
Author :
Matthias Farwick;Christian M. Schweda;Ruth Breu;Inge Hanschke
Author_Institution :
Research Group Quality Engineering, Institute of Computer Science, University of Innsbruck, Austria
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.
Conference_Titel :
Model Driven Engineering Languages and Systems (MODELS), 2015 ACM/IEEE 18th International Conference on
DOI :
10.1109/MODELS.2015.7338278