2016
DOI: 10.1109/ms.2015.81
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Learning from Quality Issues of BPMN Models from Industry

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Cited by 54 publications
(66 citation statements)
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References 9 publications
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“…Others build on reference theories from fields like cognitive psychology and adapt them to the processmodeling domain Figl and Strembeck 2014) or use generic frameworks such as those for the quality of modeling notations (Moody 2009) to assess process modeling notations (Figl et al 2009;Genon et al 2010). While the first proposals for modeling guidelines provide no empirical evidence on which to build (e.g., Becker et al 1995), later guidelines (Mendling et al 2010a;Leopold et al 2016;Mendling et al 2012a) refer to empirical data. For instance, these guidelines interpret the occurrence of errors related to correctness in large, natural collections of process models (e.g., Mendling 2007) or violations of modeling style guides written for practitioners (Leopold et al 2016) as indicators of comprehension difficulties, incorporating also selected empirical studies on model comprehension that are also part of this review.…”
Section: Theoretical Discussion Versus Empirical Studiesmentioning
confidence: 99%
See 1 more Smart Citation
“…Others build on reference theories from fields like cognitive psychology and adapt them to the processmodeling domain Figl and Strembeck 2014) or use generic frameworks such as those for the quality of modeling notations (Moody 2009) to assess process modeling notations (Figl et al 2009;Genon et al 2010). While the first proposals for modeling guidelines provide no empirical evidence on which to build (e.g., Becker et al 1995), later guidelines (Mendling et al 2010a;Leopold et al 2016;Mendling et al 2012a) refer to empirical data. For instance, these guidelines interpret the occurrence of errors related to correctness in large, natural collections of process models (e.g., Mendling 2007) or violations of modeling style guides written for practitioners (Leopold et al 2016) as indicators of comprehension difficulties, incorporating also selected empirical studies on model comprehension that are also part of this review.…”
Section: Theoretical Discussion Versus Empirical Studiesmentioning
confidence: 99%
“…While the first proposals for modeling guidelines provide no empirical evidence on which to build (e.g., Becker et al 1995), later guidelines (Mendling et al 2010a;Leopold et al 2016;Mendling et al 2012a) refer to empirical data. For instance, these guidelines interpret the occurrence of errors related to correctness in large, natural collections of process models (e.g., Mendling 2007) or violations of modeling style guides written for practitioners (Leopold et al 2016) as indicators of comprehension difficulties, incorporating also selected empirical studies on model comprehension that are also part of this review.…”
Section: Theoretical Discussion Versus Empirical Studiesmentioning
confidence: 99%
“…Regarding a best practice of BPMN process modelling [2], implicit splits and joins should be avoided and replaced by gateways. Therefore, if the decomposed model is constructed correctly, all its tasks are SESE elements, except those containing boundary events, as described in Section 3.3.…”
Section: Resulting Sub-diagramsmentioning
confidence: 99%
“…According to the research based on industrial applications [2], most of the manually created process models are badly affected by quality issues. Therefore, an automated support in the phase of process design is highly appreciated.…”
Section: Introductionmentioning
confidence: 99%
“…Literature emphasizes that a good understanding of a process model has positive influence on the success of a modeling initiative [4]. Research on impact factors of process model understandability focuses on the product or outcome of the process modeling act [5,6,7], identifying features that make models easier to understand [8]. In particular, features that characterize the layout of these models, which are part of their secondary notation, have been shown to have an effect on model understandability [9,10].…”
Section: Introductionmentioning
confidence: 99%