Towards Automated Enterprise Architecture Documentation: Data Quality Aspects of SAP PI

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 186)


Well executed, Enterprise Architecture (EA) management is commonly perceived as a strategic advantage. EA management sermonizes IT savvy firms to take profound decisions based on mature EA information. As of today, gathering required information, i.e. documenting the EA, is regarded both, time consuming and error-prone. As a reaction, recent approaches seek to automate EA documentation by extracting information out of productive system environments. In our recentwork we showed that a particular Enterprise Service Bus (ESB) namely SAP Process Integration can be used to extract EA relevant information. As a next step towards automated EA documentation, this paper analyzes the quality of the data stored in SAP Process Integration systems in practice. Survey results of 19 industry partners on 4 continents are presented.


Enterprise Service Bus (ESB) SAP PI data quality automated Enterprise Architecture documentation 


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  1. 1.
    A8402 ANSI/ASQC: Quality Management and Quality Assurance - Vocabulary. American Society for Quality Control (1994)Google Scholar
  2. 2.
    A8402 ANSI/ASQC: Quality Management and Quality Assurance - Vocabulary. American Society for Quality Control (1994)Google Scholar
  3. 3.
    Buckl, S., Matthes, F., Roth, S., Schulz, C., Schweda, C.M.: A conceptual framework for enterprise architecture design. In: Aalst, W., Mylopoulos, J., Sadeh, N.M., Shaw, M.J., Szyperski, C., Proper, E., Lankhorst, M.M., Schnherr, M., Barjis, J., Overbeek, S. (eds.) Trends in Enterprise Architecture Research. LNBIP, vol. 70, pp. 44–56. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  4. 4.
    Buschle, M., Ekstedt, M., Grunow, S., Hauder, M., Roth, S., Matthes, F.: Automating enterprise architecture documentation using models of an enterprise service bus. In: Americas Conference on Information Systems, AMCIS (to appear, 2012)Google Scholar
  5. 5.
    Buschle, M., Holm, H., Sommestad, T., Ekstedt, M., Shahzad, K.: A Tool for Automatic Enterprise Architecture Modeling. In: Nurcan, S. (ed.) CAiSE Forum 2011. LNBIP, vol. 107, pp. 1–15. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  6. 6.
    Farwick, M., Agreiter, B., Breu, R., Ryll, S., Voges, K., Hanschke, I.: Requirements for automated enterprise architecture model maintenance - a requirements analysis based on a literature review and an exploratory survey. In: ICEIS, vol. (4), pp. 325–337 (2011)Google Scholar
  7. 7.
    Farwick, M., Agreiter, B., Ryll, S., Voges, K., Hanschke, I., Breu, R.: Automation Processes for Enterprise Architecture Management. In: Trends in Enterprise Architecture Research, TEAR, Helsinki (2011)Google Scholar
  8. 8.
    Glass, R.: Building Quality Software, 1st edn. Prentice Hall (1991)Google Scholar
  9. 9.
    Hauder, M., Roth, S., Matthes, F.: Challanges for automated enterprise architecture documentation. In: Trends in Enterprise Architecture Research, TEAR (2012) (in submission)Google Scholar
  10. 10.
    Hauder, M., Roth, S., Schulz, C.: Generating dynamic cross-organizational process visualizations through abstract view model pattern matching. In: Architecture Modeling for the Future Internet Enabled Enterprise, AMFinE (2012)Google Scholar
  11. 11.
    Kahn, B., Strong, D., Wang, R.: Information quality benchmarks: Product and service performance. Communications of the ACM, 184–192 (2002)Google Scholar
  12. 12.
    Kan, S.: Metrics and Models in Software Quality Engineering. Addison-Wesley Longman (2002)Google Scholar
  13. 13.
    Moser, C., Junginger, S., Brückmann, M., Schöne, K.M.: Some Process Patterns for Enterprise Architecture Management. In: Strategy, pp. 19–30 (2009),
  14. 14.
    Nicolescu, V., Funk, B., Niemeyer, P., Heiler, M., Wittges, H., Morandell, T., Visintin, F., Stegemann, B.K., Kienegger, H.: Praxishandbuch SAP NetWeaver PI - Entwicklung, 2nd edn. SAP Press, Bonn (2009)Google Scholar
  15. 15.
    Reeves, C.A., Bednar, D.A.: Defining quality: Alternatives and implications. Academy of Management Review 19, 419–445 (1994)Google Scholar
  16. 16.
    Ross, J.W., Weill, P., Robertson, D.C.: Enterprise Architecture as Strategy. Harvard Business School Press, Boston (2006)Google Scholar
  17. 17.
    Schaub, M., Matthes, F., Roth, S.: Towards a Conceptual Framework for Interactive Enterprise Architecture Management Visualizations. In: Modellierung (2012)Google Scholar
  18. 18.
    Spewak, S., Hill, S.C.: Enterprise Architecture Planning: Developing a Blueprint for Data, Applications, and Technology, 2nd edn. John Wiley & Sons, London (1993)Google Scholar
  19. 19.
    Steen, M., Strating, P., Lankhorst, M., Doest, H., Eugenia, I.M.E.: Service-Oriented Enterprise Architecture. Idea Group Publishing (2005)Google Scholar
  20. 20.
    The Open Group: TOGAF Version 9 – A Manual, 9th edn. Van Haren Publishing (2009)Google Scholar
  21. 21.
    Wang, R.W., Strong, D.M.: Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems 12, 5–30 (1996)MATHGoogle Scholar
  22. 22.
    van’t Wout, J., Waage, M., Hartman, H., Stahlecker, M., Hofman, A.: The Integrated Architecture Framework Explained: Why, What, How, 1st edn. Springer, Berlin (2010)Google Scholar
  23. 23.
    Zachman, J.A.: A framework for information systems architecture. IBM Syst. J. 26(3), 276–292 (1987), CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Sebastian Grunow
    • 1
  • Florian Matthes
    • 1
  • Sascha Roth
    • 1
  1. 1.Software Engineering of Business Information Systems (sebis)Technische Universität MünchenGarching b. MünchenGermany

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