An Approach for Transforming IT-Network Diagrams into Enterprise Architecture Models
Daniel Maciejewski, Nicolas Mayer
2017
Abstract
Enterprise Architecture (EA) models propose to capture the activities of an organization, going from its business aspects to its IT infrastructure. Such an approach is promising to support reasoning on specific concerns, especially those relying on the business-to-IT stack, such as enterprise transformation, security, IT investment, etc. However, most of the organizations do not have existing EA models, and are reluctant to establish them, especially from scratch, mainly due to the length and complexity to do so. Our insight is that we can leverage on network diagrams, one of the most common kind of models available in organizations, to generate part of EA models. In this paper, we propose an approach to transform network diagrams into EA models. In this context, we focus on CISCO as the reference for network concepts, and ArchiMate as the standard modelling language for EA.
DownloadPaper Citation
in Harvard Style
Maciejewski D. and Mayer N. (2017). An Approach for Transforming IT-Network Diagrams into Enterprise Architecture Models. In Proceedings of the Seventh International Symposium on Business Modeling and Software Design - Volume 1: BMSD, ISBN 978-989-758-238-7, pages 186-192. DOI: 10.5220/0006528801860192
in Bibtex Style
@conference{bmsd17,
author={Daniel Maciejewski and Nicolas Mayer},
title={An Approach for Transforming IT-Network Diagrams into Enterprise Architecture Models},
booktitle={Proceedings of the Seventh International Symposium on Business Modeling and Software Design - Volume 1: BMSD,},
year={2017},
pages={186-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006528801860192},
isbn={978-989-758-238-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Seventh International Symposium on Business Modeling and Software Design - Volume 1: BMSD,
TI - An Approach for Transforming IT-Network Diagrams into Enterprise Architecture Models
SN - 978-989-758-238-7
AU - Maciejewski D.
AU - Mayer N.
PY - 2017
SP - 186
EP - 192
DO - 10.5220/0006528801860192