Empirical evaluation of test driven modeling

Stefan Zugal, Cornelia Haisjackl, Jakob Pinggera, Barbara Weber

Research output: Contribution to journalJournal articleResearchpeer-review


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. Copyright © 2013, IGI Global.
Original languageEnglish
JournalInternational Journal of Information System Modeling and Design
Issue number2
Pages (from-to)23-43
Number of pages21
Publication statusPublished - 2013
Externally publishedYes


  • Business Process Management
  • Case Study
  • Controlled Experiment
  • Declarative Business Process Model
  • Empirical Research
  • Test Driven Modeling
  • Business process management

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