Skip to main content

Capturing Decision Making Strategies in Enterprise Architecture – A Viewpoint

  • Conference paper

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 147))

Abstract

Enterprise Architecture modeling languages describe an enterprise holistically, showing its business products and services and how these are realized by IT infrastructure and applications. However, these modeling languages lack the capability to capture the design rationale for decisions that lead to specific architectural designs. In our previous work we presented the EA Anamnesis approach for capturing architectural decision details. In this paper, we extend the EA Anamnesis approach with a viewpoint that captures and rationalizes decision making strategies in enterprise architecture. Such a viewpoint is useful because it helps enterprise architects reconstruct the decision making process leading up to a decision and understand how and under which circumstances this decision was made. For example, under time pressure an architect may rely on heuristics instead of examining the decision problem in depth. More specifically, we contribute: (1) a metamodel for capturing decision making strategies, which is grounded in established decision making literature, (2) an illustrative example showcasing the potential usefulness of capturing the decision making process.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Op’t Land, M., Proper, E., Waage, M., Cloo, J., Steghuis, C.: Enterprise architecture: creating value by informed governance. Springer (2008)

    Google Scholar 

  2. Hoogervorst, J.: Enterprise architecture: Enabling integration, agility and change. International Journal of Cooperative Information Systems 13(03), 213–233 (2004)

    Article  Google Scholar 

  3. Lankhorst, M.: Enterprise architecture at work: Modelling, communication and analysis. Springer (2009)

    Google Scholar 

  4. The Open Group: ArchiMate 2.0 Specification. Van Haren Publishing (2012)

    Google Scholar 

  5. Jansen, A., Bösch, J.: Software architecture as a set of architectural design decisions. In: 5th Working IEEE/IFIP Conference on Software Architecture, WICSA 2005, pp. 109–120. IEEE (2005)

    Google Scholar 

  6. Tang, A., Jin, Y., Han, J.: A rationale-based architecture model for design traceability and reasoning. Journal of Systems and Software 80(6), 918–934 (2007)

    Article  Google Scholar 

  7. Tang, A., Babar, M.A., Gorton, I., Han, J.: A survey of architecture design rationale. Journal of Systems and Software 79(12), 1792–1804 (2006)

    Article  Google Scholar 

  8. Plataniotis, G., de Kinderen, S., Proper, H.A.: Ea anamnesis: towards an approach for enterprise architecture rationalization. In: Proceedings of the 2012 Workshop on Domain-Specific Modeling, DSM 2012, pp. 27–32. ACM, New York (2012)

    Chapter  Google Scholar 

  9. Lee, J.: Extending the potts and bruns model for recording design rationale. In: Proceedings of the 13th International Conference on Software Engineering, pp. 114–125. IEEE (1991)

    Google Scholar 

  10. Einhorn, H.: The use of nonlinear, noncompensatory models in decision making. Psychological Bulletin 73(3), 221 (1970)

    Article  Google Scholar 

  11. Payne, J.: Task complexity and contingent processing in decision making: An information search and protocol analysis. Organizational Behavior and Human Performance 16(2), 366–387 (1976)

    Article  Google Scholar 

  12. Svenson, O.: Process descriptions of decision making. Organizational Behavior and Human Performance 23(1), 86–112 (1979)

    Article  Google Scholar 

  13. Alenljung, B., Persson, A.: Portraying the practice of decision-making in requirements engineering: a case of large scale bespoke development. Requirements Engineering 13(4), 257–279 (2008)

    Article  Google Scholar 

  14. Orasanu, J., Connolly, T.: The reinvention of decision making (1993)

    Google Scholar 

  15. Rothrock, L., Yin, J.: Integrating compensatory and noncompensatory decision-making strategies in dynamic task environments. Decision Modeling and Behavior in Complex and Uncertain Environments, 125–141 (2008)

    Google Scholar 

  16. Payne, J., Bettman, J., Johnson, E.: The adaptive decision maker. Cambridge University Press (1993)

    Google Scholar 

  17. Elrod, T., Johnson, R., White, J.: A new integrated model of noncompensatory and compensatory decision strategies. Organizational Behavior and Human Decision Processes 95(1), 1–19 (2004)

    Article  Google Scholar 

  18. Jeffreys, I.: The use of compensatory and non-compensatory multi-criteria analysis for small-scale forestry. Small-scale Forestry 3(1), 99–117 (2004)

    Google Scholar 

  19. McAllister, D., Mitchell, T., Beach, L.: The contingency model for the selection of decision strategies: An empirical test of the effects of significance, accountability, and reversibility. Organizational Behavior and Human Performance 24(2), 228–244 (1979)

    Article  Google Scholar 

  20. Ruhe, G.: Software engineering decision support: methodology and applications

    Google Scholar 

  21. Regnell, B., Paech, B., Aurum, A., Wohlin, C., Dutoit, A.: Requirements mean decisions!–research issues for understanding and supporting decision-making in requirements engineering. In: First Swedish Conference on Software Engineering Research and Practise: Proceedings. Citeseer (2001)

    Google Scholar 

  22. Nuseibeh, B., Kramer, J., Finkelstein, A.: A framework for expressing the relationships between multiple views in requirements specification. IEEE Transactions on Software Engineering 20(10), 760–773 (1994)

    Article  Google Scholar 

  23. IEEE: Systems and software engineering – architecture description. ISO/IEC/IEEE 42010:2011(E) (Revision of ISO/IEC 42010:2007 and IEEE Std 1471-2000), 1–46 (January 2011)

    Google Scholar 

  24. Mintzberg, H., Raisinghani, D., Theoret, A.: The structure of unstructured decision processes. Administrative Science Quarterly, 246–275 (1976)

    Google Scholar 

  25. Cummins, J., Doherty, N.: The economics of insurance intermediaries. Journal of Risk and Insurance 73(3), 359–396 (2006)

    Article  Google Scholar 

  26. Jadhav, A., Sonar, R.: Evaluating and selecting software packages: A review. Information and Software Technology 51(3), 555–563 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Plataniotis, G., de Kinderen, S., Proper, H.A. (2013). Capturing Decision Making Strategies in Enterprise Architecture – A Viewpoint. In: Nurcan, S., et al. Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2013 2013. Lecture Notes in Business Information Processing, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38484-4_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38484-4_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38483-7

  • Online ISBN: 978-3-642-38484-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics