Constructing Software-Intensive Methods: A Design Science Research Process with Early Feedback Cycles

  • Robert Krawatzeck
  • Marcus Hofmann
  • Frieder Jacobi
  • Barbara Dinter
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7939)


Methods are a common artifact within design science research (DSR). In the context of a research project we faced the challenge to develop a method and a software artifact in parallel. However, existing work in DSR and method engineering does not explicitly address the simultaneous development of two interdependent artifacts. Therefore, we developed a DSR process that allows the construction of so-called software-intensive methods. It considers the interdependencies of both artifacts and optimizes common DSR processes by including early feedback cycles for intermediate results allowing the identification of initial design weaknesses like missing or dispensable design elements, inappropriate element design and usability flaws. The process has been applied and its feasibility has been demonstrated in the research project.


design science research process method engineering software prototype early feedback generate-test cycle 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    March, S.T., Smith, G.F.: Design and Natural Science Research on Information Technology. Decision Support Systems 15(4), 251–266 (1995)CrossRefGoogle Scholar
  2. 2.
    Peffers, K., Tuunanen, T., Rothenberger, M., Chatterjee, S.: A Design Science Research Methodology for Information Systems Research. J. of MIS 24(3), 45–77 (2007)Google Scholar
  3. 3.
    Brinkkemper, S.: Method Engineering: Engineering of Information Systems Development Methods and Tools. J. of Information and Software Technology 38(4), 275–280 (1996)CrossRefGoogle Scholar
  4. 4.
    Krawatzeck, R., Jacobi, F., Müller, A., Hofmann, M.: Konzeption eines Frameworks zur automatisierten Erstellung nutzerspezifischer IT-Systemdokumentationen. In: Workshop Business Intelligence 2011 (WSBI 2011) der GI-Fachgruppe BI, pp. 15–26. CEUR (2011)Google Scholar
  5. 5.
    Krawatzeck, R., Jacobi, F., Hofmann, M.: CAWE DW Documenter: A Model-Driven Tool for Customizable ETL Documentation Generation. In: Castano, S., Vassiliadis, P., Lakshmanan, L.V., Lee, M.L. (eds.) ER 2012 Workshops 2012. LNCS, vol. 7518, pp. 400–403. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  6. 6.
    Hevner, A.R., March, S.T., Park, J., Ram, S.: Design Science in Information Systems Research. MIS Quarterly 28(1), 75–105 (2004)Google Scholar
  7. 7.
    Braun, C., Wortmann, F., Hafner, M., Winter, R.: Method Construction – A Core Approach to Organizational Engineering. In: 20th Annual ACM Symposium on Applied Computing (SAC 2005), pp. 1295–1299. ACM Press, New York (2005)Google Scholar
  8. 8.
    Jeffries, R., Jeffries, R.E., Anderson, A.: Extreme Programming Installed. Addison-Wesley, Amsterdam (2000)Google Scholar
  9. 9.
    Jacobi, F., Krawatzeck, R., Hofmann, M.: Meeting the Need for ETL Documentation: A Model-driven Framework for Customizable Documentation Generation. In: 18th Americas Conference on Information Systems (AMCIS 2012), Paper 23. AISeL (2012)Google Scholar
  10. 10.
    Gluchowski, P., Kurze, C.: Modellierung und Dokumentation von BI-Systemen. Controlling 22, 676–682 (2010)Google Scholar
  11. 11.
    Wallmüller, E.: Software-Qualitätsmanagement in der Praxis: Software-Qualität durch Führung und Verbesserung von Software-Prozessen, 2nd edn. Hanser Fachbuch, Munich (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Robert Krawatzeck
    • 1
  • Marcus Hofmann
    • 1
  • Frieder Jacobi
    • 1
  • Barbara Dinter
    • 2
  1. 1.Chemnitz University of TechnologyChemnitzGermany
  2. 2.University of Erlangen-NurembergErlangen-NurembergGermany

Personalised recommendations