Even though considerable progress regarding the technical perspective on modeling and supporting business processes has been achieved, it appears that the human perspective is still often left aside. In particular, we do not have an in-depth understanding of how process models are inspected by humans, what strategies are taken, what challenges arise, and what cognitive processes are involved. This paper contributes toward such an understanding and reports an exploratory study investigating how humans identify and classify quality issues in BPMN process models. Providing preliminary answers to initial research questions, we also indicate other research questions that can be investigated using this approach. Our qualitative analysis shows that humans adapt different strategies on how to identify quality issues. In addition, we observed several challenges appearing when humans inspect process models. Finally, we present different manners in which classification of quality issues was addressed.
Bibliographical noteFunding Information:
This research is supported by Austrian Science Fund (FWF): P23699-N23, P26140-N15.
© 2016, The Author(s).
- Empirical research
- Human-centered support
- Process model maintainability
- Process model quality
ASJC Scopus subject areas
- Modeling and Simulation