Generic EA Analysis Framework for the Definition and Automatic Execution of Analyses

Melanie Langermeier, Bernhard Bauer

2017

Abstract

Analysis is an essential part in the Enterprise Architecture Management lifecycle. An in-depth consideration of the architecture obtains its strengths and weaknesses. This provides a sound foundation for the future evolution of the architecture as well as for decision-making regarding new projects. Current literature provides a large number of different analysis approaches, targeting different goals and utilizing different techniques. To provide a common interface to analysis activities we studied the corresponding literature in previous research. Based on these results we develop a language for the definition of EA analyses as well as an execution environment for their evaluation. To cope with the high variety of meta models in the EA domain, the framework provides a uniform and tool independent access to analysis activities. Additionally it can be used to provide an EA analysis library, where the architect is able to select predefined analyses according to his specific requirements.

References

  1. Aier, S., Gleichauf, B., and Winter, R. (2011). Understanding enterprise architecture management design-an empirical analysis. In Proceedings of 10th Conference on Wirtschaftsinformatik.
  2. Bucher, T., Fischer, R., Kurpjuweit, S., and Winter, R. (2006). Analysis and application scenarios of enterprise architecture: An exploratory study. In 10th IEEE International Enterprise Distributed Object Computing Conference Workshops, EDOCW'06, pages 28- 28. IEEE.
  3. Buckl, S., Matthes, F., and Schweda, C. M. (2009). Classifying enterprise architecture analysis approaches. In Enterprise Interoperability, pages 66-79. Springer.
  4. Della Bordella, M., Liu, R., Ravarini, A., Wu, F. Y., and Nigam, A. (2011). Towards a method for realizing sustained competitive advantage through business entity analysis. In Enterprise, Business-Process and Information Systems Modeling, pages 216-230. Springer.
  5. Frank, U., Heise, D., and Kattenstroth, H. (2009). Use of a domain specific modeling language for realizing versatile dashboards. In Proceedings of the 9th OOPSLA workshop on domain-specific modeling (DSM) .
  6. Franke, U., Flores, W. R., and Johnson, P. (2009). Enterprise architecture dependency analysis using fault trees and Bayesian networks. In Proceedings of the 2009 Spring Simulation Multiconference, SpringSim 7809, pages 55:1-55:8, San Diego, CA, USA.
  7. Johnson, P., Nordström, L., and Lagerström, R. (2007). Formalizing analysis of enterprise architecture. In Doumeingts, G., Mller, J., Morel, G., and Vallespir, B., editors, Enterprise Interoperability, pages 35-44. Springer London.
  8. Jonkers, H. and Iacob, M.-E. (2009). Performance and cost analysis of service-oriented enterprise architecKurpjuweit, S. and Aier, S. (2009). Ein allgemeiner Ansatz zur Ableitung von Abhängigkeitsanalysen auf Unternehmensarchitekturmodellen. In Wirtschaftinformatik Proceedings 2009.
  9. Langermeier, M., Saad, C., and Bauer, B. (2014a). Adaptive approach for impact analysis in enterprise architectures. In Business Modeling and Software Design, pages 22-42. Springer.
  10. Langermeier, M., Saad, C., and Bauer, B. (2014b). A unified framework for enterprise architecture analysis. In 18th IEEE International EDOC Conference Workshops, pages 227-236.
  11. Lankhorst, M. (2013). Enterprise Architecture at Work: Modelling, Communication and Analysis. Springer.
  12. Lantow, B., Jugel, D., Wißotzki, M., Lehmann, B., Zimmermann, O., and Sandkuhl, K. (2016). Towards a classification framework for approaches to enterprise architecture analysis. In The Practice of Enterprise Modeling : 9th IFIP WG 8.1. Working Conference, PoEM 2016, Skövde, Sweden, November 8-10, 2016, Proceedings, pages 335-343. Springer International Publishing.
  13. Matthes, F., Monahov, I., Schneider, A., and Schulz, C. (2011). EAM KPI Catalog. Technical Report v 1.0, Technical University Munich.
  14. Naranjo, D., Sánchez, M., and Villalobos, J. (2014). Towards a unified and modular approach for visual analysis of enterprise models. In Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW), 2014 IEEE 18th International, pages 77-86. IEEE.
  15. Naranjo, D., Sánchez, M., and Villalobos, J. (2015). Primrose: A graph-based approach for enterprise architecture analysis. In Enterprise Information Systems: 16th International Conference, ICEIS 2014, Lisbon, Portugal, April 27-30, 2014, Revised Selected Papers, pages 434-452. Springer International Publishing.
  16. Närman, P., Buschle, M., and Ekstedt, M. (2014). An enterprise architecture framework for multi-attribute information systems analysis. Software & Systems Modeling, 13(3):1085-1116.
  17. Närman, P., Schonherr, M., Johnson, P., Ekstedt, M., and Chenine, M. (2008). Using enterprise architecture models for system quality analysis. In 12th IEEE International EDOC Conference, pages 14-23.
  18. Niemann, K. D. (2006). From enterprise architecture to IT governance. Springer.
  19. Plessius, H., Slot, R., and Pruijt, L. (2012). On the categorization and measurability of enterprise architecture benefits with the enterprise architecture value framework. In Trends in Enterprise Architecture Research and Practice-Driven Research on Enterprise Transformation, pages 79-92. Springer.
  20. Rauscher, J. (2013). Analysen in Unternehmensarchitekturen - Ziele, Techniken, Anwendungsbereiche. Bachelor Thesis, University Augsburg.
  21. Rauscher, J. (2015). Anforderungen an und Definition von einer Analysesprache für das Enterprise Architecture Management. Master Thesis, University Augsburg.
  22. Rauscher, J., Langermeier, M., and Bauer, B. (2017). Classification and definition of an enterprise architecture analyses language. In Business Modeling and Software Design, 6th Int. Symposium, LNBIP. Springer. Accepted for publication.
  23. Saad, C. and Bauer, B. (2011). The Model Analysis Framework - An IDE for Static Model Analysis. In Proceedings of the Industry Track of Software Language Engineering (ITSLE) in the context of the 4th International Conference on Software Language Engineering (SLE'11).
  24. Saad, C. and Bauer, B. (2013). Data-flow based Model Analysis and its Applications. In Proceedings of the 16th International Conference on Model Driven Engineering Languages and Systems (MoDELS'13).
  25. Sasa, A. and Krisper, M. (2011). Enterprise architecture patterns for business process support analysis. Journal of Systems and Software, 84(9):1480-1506.
  26. Sunkle, S., Kulkarni, V., and Roychoudhury, S. (2013). Analyzable enterprise models using ontology. In CAiSE Forum, volume 998, pages 33-40.
  27. The Open Group (2012). ArchiMate 2.1. Technical Report Open Group Standard.
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Paper Citation


in Harvard Style

Langermeier M. and Bauer B. (2017). Generic EA Analysis Framework for the Definition and Automatic Execution of Analyses . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-758-249-3, pages 316-327. DOI: 10.5220/0006379003160327


in Bibtex Style

@conference{iceis17,
author={Melanie Langermeier and Bernhard Bauer},
title={Generic EA Analysis Framework for the Definition and Automatic Execution of Analyses},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2017},
pages={316-327},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006379003160327},
isbn={978-989-758-249-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - Generic EA Analysis Framework for the Definition and Automatic Execution of Analyses
SN - 978-989-758-249-3
AU - Langermeier M.
AU - Bauer B.
PY - 2017
SP - 316
EP - 327
DO - 10.5220/0006379003160327