Abstract:Abstract. Previous research has put forward various metrics of business process models that are correlated with understandability. Two such metrics are size and degree of (block-)structuredness. What has not been sufficiently appreciated at this point is that these desirable properties may be at odds with one another. This paper presents the results of a twopronged study aimed at exploring the trade-off between size and structuredness of process models. The first prong of the study is a comparative analysis of… Show more
“…Mendling and Strembeck (2008, p. 147), who calculate the metric as ''one minus the number of nodes in structured blocks divided by the number of nodes,'' find no significant correlation between it and comprehension accuracy. Dumas et al (2012) find that a comparable metric results in inconsistent results, as structuredness reduces comprehension for two models and heightens comprehension in two other models, which leads the authors to conclude that structuring might be beneficial only when it does not increase the number of gateways.…”
Visual process models are meant to facilitate comprehension of business processes. However, in practice, process models can be difficult to understand. The main goal of this article is to clarify the sources of cognitive effort in comprehending process models. The article undertakes a comprehensive descriptive review of empirical and theoretical work in order to categorize and summarize systematically existing findings on the factors that influence comprehension of visual process models. Methodologically, the article builds on a review of forty empirical studies that measure objective comprehension of process models, seven studies that measure subjective comprehension and user preferences, and thirty-two articles that discuss the factors that influence the comprehension of process models. The article provides information systems researchers with an overview of the empirical state of the art of process model comprehension and provides recommendations for new research questions to be addressed and methods to be used in future experiments.
“…Mendling and Strembeck (2008, p. 147), who calculate the metric as ''one minus the number of nodes in structured blocks divided by the number of nodes,'' find no significant correlation between it and comprehension accuracy. Dumas et al (2012) find that a comparable metric results in inconsistent results, as structuredness reduces comprehension for two models and heightens comprehension in two other models, which leads the authors to conclude that structuring might be beneficial only when it does not increase the number of gateways.…”
Visual process models are meant to facilitate comprehension of business processes. However, in practice, process models can be difficult to understand. The main goal of this article is to clarify the sources of cognitive effort in comprehending process models. The article undertakes a comprehensive descriptive review of empirical and theoretical work in order to categorize and summarize systematically existing findings on the factors that influence comprehension of visual process models. Methodologically, the article builds on a review of forty empirical studies that measure objective comprehension of process models, seven studies that measure subjective comprehension and user preferences, and thirty-two articles that discuss the factors that influence the comprehension of process models. The article provides information systems researchers with an overview of the empirical state of the art of process model comprehension and provides recommendations for new research questions to be addressed and methods to be used in future experiments.
“…There is no clear definition of the notion of understanding of business process models. It is used in different manners depending on the context [1], [2], [3], [4]. Even though a definition lacks, this notion is very important.…”
“…In practice, making a model structured without duplication appears to be rather rare. An investigation with more than 500 models from practice has shown that structuring leads to an increase in size of about 50% on average [53]. It is also important to note that duplication might be more harmful than a usual increase in size.…”
Section: Refactoring the Structure Of Process Modelsmentioning
confidence: 99%
“…It is also important to note that duplication might be more harmful than a usual increase in size. The user experiment reported in [53] points to a potential confusion by model readers who are asked about behavioural constraints that involve activities that are shown multiple times in the model.…”
Section: Refactoring the Structure Of Process Modelsmentioning
Abstract. Business process models are increasingly used for capturing business operations of companies. Such models play an important role in the requirements elicitation phase of to-be-created information systems and in as-is analysis of business efficiency. Many process modeling initiatives have grown considerably big in size involving dozens of modelers with varying expertise creating and maintaining hundreds, sometimes thousands of models. One of the roadblocks towards a more effective usage of these process models is the often insufficient provision of quality assurance. The aim of this paper is to give an overview on how empirical research informs structural and textual quality assurance of process models. We present selected findings and show how they can be utilized as a foundation for novel automatic analysis techniques.
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