Tool Support for Analyzing the Evolution of Enterprise Architecture Metrics

Manoj Bhat, Thomas Reschenhofer, Florian Matthes


Managing the evolution of the Enterprise Architecture (EA) is a key challenge for modern enterprises. The EA metrics are instrumental in quantitatively measuring the progress of an enterprise towards its goals. Retrospective analysis of EA metrics empower business users to take informed decisions while planning and selecting efficient alternatives to achieve envisioned EA goals. Even though the current EA management tools support the definition and calculation of EA metrics, they do not capture the temporal aspects of EA metrics in their meta-model to enable retrospective analysis. In this paper, we first propose a model-based approach to capture the temporal aspects of EA metrics and then extend a domain specific language to compute EA metrics at any point of time in the past. This allows visualizing the evolution of EA metrics and as a consequence the evolution of the EA.


  1. Bose, R. (2006). Understanding mgmt. data systems for enterprise performance mgmt. Industrial Mgmt. & Data Systems, 106(1):43-59.
  2. Büchner, T., Matthes, F., and Neubert, C. (2010). Data model driven implementation of web cooperation systems with tricia. In Objects and Databases, pages 70- 84. Springer.
  3. Buckl, S., Ernst, A., Matthes, F., and Schweda, C. M. (2009). Visual roadmaps for managed enterprise architecture evolution. In Software Eng., Artificial Intell., Networking and Parallel/Distributed Computing, 2009. SNPD'09. 10th ACIS Int. Conf. on, pages 352- 357. IEEE.
  4. Expert, H. (2005). Hugin api reference manual, version 6.4, september 2005.
  5. Hauder, M., Roth, S., Schulz, C., and Matthes, F. (2013). Current tool support for metrics in enterprise architecture management.
  6. Iacob, M.-E. and Jonkers, H. (2006). Quantitative analysis of enterprise architectures. In Interoperability of Enterprise Software and Applications, pages 239-252. Springer.
  7. Johnson, P., Lagerström, R., Närman, P., and Simonsson, M. (2007). Enterprise architecture analysis with extended influence diagrams. Information Systems Frontiers, 9(2-3):163-180.
  8. Kaisler, S. H., Armour, F., and Valivullah, M. (2005). Enterprise architecting: Critical problems. In System Sciences, 2005. HICSS'05. Proceedings of the 38th Annual Hawaii Int. Conf. on, pages 224b-224b. IEEE.
  9. Klint, P., van der Storm, T., and Vinju, J. (2009). Rascal: A domain specific language for source code analysis and manipulation. In Source Code Analysis and Manipulation, 2009. SCAM'09. Ninth IEEE Int. Working Conf. on, pages 168-177.
  10. Lagerstrom, R., Baldwin, C., MacCormack, A., and Aier, S. (2014). Visualizing and measuring enterprise application architecture: An exploratory telecom case. In System Sciences (HICSS), 2014 47th Hawaii Int. Conf. on, pages 3847-3856.
  11. Matthes, F., Buckl, S., Leitel, J., and Schweda, C. M. (2008). Enterprise architecture management tool survey 2008. Techn. Univ. München.
  12. Matthes, F., Monahov, I., Schneider, A., and Schulz, C. (2012a). Eam kpi catalog v 1.0. Technische Universität München, Germany, Tech. Rep.
  13. Matthes, F., Monahov, I., Schneider, A. W., and Schulz, C. (2012b). Towards a unified and configurable structure for ea management kpis. In Trends in Enterprise Architecture Research and Practice-Driven Research on Enterprise Transformation, pages 284-299. Springer.
  14. Matthes, F. and Neubert, C. (2011). Wiki4eam: Using hybrid wikis for enterprise architecture management. In Proceedings of the 7th Int. Symposium on Wikis and Open Collaboration, pages 226-226. ACM.
  15. Monahov, I., Reschenhofer, T., and Matthes, F. (2013). Design and prototypical implementation of a language empowering business users to define key performance indicators for enterprise architecture management. In EDOCW, 2013 17th IEEE Int., pages 337-346. IEEE.
  16. Monperrus, M., Jézéquel, J.-M., Champeau, J., and Hoeltzener, B. (2008). Measuring models. Synthesis, 19:20.
  17. Popova, V. and Sharpanskykh, A. (2010). Modeling organizational performance indicators. Information systems, 35(4):505-527.
  18. Pourshahid, A., Amyot, D., Chen, P., Weiss, M., and Forster, A. J. (2007). Business process monitoring and alignment: An approach based on the user requirements notation and business intelligence tools. In WER, pages 80-91.
  19. Reschenhofer, T., Monahov, I., and Matthes, F. (2014). Type-safety in ea model analysis. In EDOCW, 2014 IEEE 18th Int., pages 87-94.
  20. Robbes, R. and Lanza, M. (2007). A change-based approach to software evolution. Electronic Notes in Theoretical Computer Science, 166:93-109.
  21. Roth, S., Hauder, M., Farwick, M., Breu, R., and Matthes, F. (2013). Ea documentation: Current practices and future directions.
  22. Rouse, W. B. (2005). A theory of enterprise transformation. Systems Engineering, 8(4):279-295.
  23. Schneider, A. W., Reschenhofer, T., Schütz, A., and Matthes, F. (2015). Empirical results for application landscape complexity. Technical report, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  24. Schuetz, A., Widjaja, T., and Kaiser, J. (2013). Complexity in enterprise architectures-conceptualization and introduction of a measure from a system theoretic perspective.
  25. Segev, A. and Shoshani, A. (1987). Logical modeling of temporal data. In ACM Sigmod Record, volume 16, pages 454-466. ACM.
  26. Strecker, S., Frank, U., Heise, D., and Kattenstroth, H. (2012). Metricm: a modeling method in support of the reflective design and use of performance measurement systems. Information Systems and e-Business Management, 10:241-276.
  27. von Alan, R. H., March, S. T., Park, J., and Ram, S. (2004). Design science in information systems research. MIS quarterly, 28(1):75-105.

Paper Citation

in Harvard Style

Bhat M., Reschenhofer T. and Matthes F. (2015). Tool Support for Analyzing the Evolution of Enterprise Architecture Metrics . In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-758-098-7, pages 154-161. DOI: 10.5220/0005370701540161

in Bibtex Style

author={Manoj Bhat and Thomas Reschenhofer and Florian Matthes},
title={Tool Support for Analyzing the Evolution of Enterprise Architecture Metrics},
booktitle={Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},

in EndNote Style

JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - Tool Support for Analyzing the Evolution of Enterprise Architecture Metrics
SN - 978-989-758-098-7
AU - Bhat M.
AU - Reschenhofer T.
AU - Matthes F.
PY - 2015
SP - 154
EP - 161
DO - 10.5220/0005370701540161