Wand and Weber’s Decomposition Model in the Context of Business Process Modeling

Johannsen, Florian; Leist, Susanne

doi:10.1007/s12599-012-0229-1

Cited by 14 publications

(25 citation statements)

References 36 publications

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“…The impact of hierarchy on understandability has been studied in various conceptual modeling languages, such as imperative business process models [45], ER diagrams [28,49], and UML statechart diagrams [5,7,8] (an overview is presented in [63]). General considerations about modularization, resulting in the good decomposition model [58], have been adopted for the modularization of object-oriented design [2] and the modularization of Event-driven Process Chains [19]. Guidelines for the use of sub-processes in imperative process models are provided in [21,26,48].…”

Section: Related Workmentioning

confidence: 99%

Investigating expressiveness and understandability of hierarchy in declarative business process models

et al. 2013

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Hierarchy has widely been recognized as a viable approach to deal with the complexity of conceptual models. For instance, in declarative business process models, hierarchy is realized by sub-processes. While technical implementations of declarative sub-processes exist, their application, semantics, and the resulting impact on understandability are less understood yet-this research gap is addressed in this work. More specifically, we discuss the semantics and the application of hierarchy and show how subprocesses enhance the expressiveness of declarative modeling languages. Then, we turn to the influence of hierarchy on the understandability of declarative process models. In particular, we present a cognitive-psychology-based framework that allows to assess the impact of hierarchy on the understandability of a declarative process model. To empirically Communicated by Dr. Selmin Nurcan. test the proposed framework, a combination of quantitative and qualitative research methods is followed. While statistical tests provide numerical evidence, think-aloud protocols give insights into the reasoning processes taking place when reading declarative process models.

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Section: Related Workmentioning

confidence: 99%

Investigating expressiveness and understandability of hierarchy in declarative business process models

et al. 2013

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“…Additionally, the behavioral intention and performance efficiency during the comprehension of modularized process models may unravel new insights that can foster their comprehension by the definition of supporting measures (e.g., comprehension guidelines). Generally, a vast body of research exists highlighting the benefits of modularization in process models regarding their comprehension (e.g., [25], [26], [27]). Thereby, the approach was pursued in previous research to compare the effects between modularized and nonmodularized process models [28].…”

Section: Introductionmentioning

confidence: 99%

Measuring the Cognitive Complexity in the Comprehension of Modular Process Models

Winter

Pryss

Probst

et al. 2022

IEEE Trans. Cogn. Dev. Syst.

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Modularization in process models is a method to cope with the inherent complexity in such models (e.g., model size reduction). Modularization is capable to increase the quality, the ease of reuse, and the scalability of process models. Prior conducted research studied the effects of modular process models to enhance their comprehension. However, the effects of modularization on cognitive factors during process model comprehension are less understood so far. Therefore, this paper presents the results of two exploratory studies (i.e., a survey research study with N = 95 participants; a follow-up eye tracking study with N = 19 participants), in which three types of modularization (i.e., horizontal, vertical, orthogonal) were applied to process models expressed in terms of the Business Process Model and Notation (BPMN) 2.0. Further, the effects of modularization on the cognitive load, the level of acceptability, and the performance in process model comprehension were investigated. In general, the results revealed that participants were confronted with challenges during the comprehension of modularized process models. Further, performance in the comprehension of modularized process models showed only a few significant differences, however, the results obtained regarding the cognitive load revealed that the complexity and concept of modularization in process models were misjudged initially. The insights unraveled that the attitude towards the application and the behavioral intention to apply modularization in process model is still not clear. In this context, horizontal modularization appeared to be the best comprehensible modularization approach leading to a more finegrained comprehension of respective process models. The findings indicate that alterations in modular process models (e.g., change in the representation) are important to foster and enable their comprehension. Finally, based on our results, implications for research and practice as well as directions for future work are discussed in this paper.

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“…Modularization has been widely investigated in the literature [10][11][12][13][14][15]. However, its impact on understandability remains inconclusive and hard to generalize (for a systematic review, see [4]).…”

Section: Impact Of Modularizationmentioning

confidence: 99%

“…Modularization could reduce the complexity of process models by decomposing them into sub-processes. Modularization has been investigated in computer programming [10], conceptual modeling [11][12][13] and process modeling [4,[14][15][16]. With regards to declarative languages, a qualitative study [16] suggests that abstraction and fragmentation are two opposing forces affecting the understandability of modularized process models expressed in the Declare language [17].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Modularization on the Understandability of Declarative Process Models: A Research Model

Andaloussi

Soffer

Slaats

et al. 2020

Information Systems and Neuroscience

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Wand and Weber’s Decomposition Model in the Context of Business Process Modeling

Cited by 14 publications

References 36 publications

Investigating expressiveness and understandability of hierarchy in declarative business process models

Investigating expressiveness and understandability of hierarchy in declarative business process models

Measuring the Cognitive Complexity in the Comprehension of Modular Process Models

The Impact of Modularization on the Understandability of Declarative Process Models: A Research Model

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