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Empirical Evaluation of Test Driven Modeling

Author

Listed:
  • Stefan Zugal

    (Department of Computer Science, University of Innsbruck, Innsburck, Austria)

  • Cornelia Haisjackl

    (Department of Computer Science, University of Innsbruck, Innsburck, Austria)

  • Jakob Pinggera

    (Department of Computer Science, University of Innsbruck, Innsburck, Austria)

  • Barbara Weber

    (Department of Computer Science, University of Innsbruck, Innsburck, Austria)

Abstract

Declarative approaches to process modeling are regarded well suited for highly volatile environments as they provide a high degree of flexibility. However, problems in understanding and maintaining declarative process models impede their usage. To compensate for these shortcomings, Test Driven Modeling (TDM) has been proposed. This paper reports on an empirical investigation in which TDM is viewed from two different angles. First, the impact of TDM on communication is explored in a case study. Results indicate that domain experts are inclined to use test cases for communicating with the model builder (system analyst) and prefer them over the process model. The second part of the investigation, a controlled experiment, investigates the impact of TDM on process model maintenance. Data gathered in this experiment indicates that the adoption of test cases significantly lowers cognitive load and increases the perceived quality of changes.

Suggested Citation

  • Stefan Zugal & Cornelia Haisjackl & Jakob Pinggera & Barbara Weber, 2013. "Empirical Evaluation of Test Driven Modeling," International Journal of Information System Modeling and Design (IJISMD), IGI Global, vol. 4(2), pages 23-43, April.
    • Handle: RePEc:igg:jismd0:v:4:y:2013:i:2:p:23-43
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    Cited by:

    1. Stefan Oppl, 2017. "Supporting the Collaborative Construction of a Shared Understanding About Work with a Guided Conceptual Modeling Technique," Group Decision and Negotiation, Springer, vol. 26(2), pages 247-283, March.

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