2013
DOI: 10.1007/978-3-642-36285-9_73
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Visualizing Large Business Process Models: Challenges, Techniques, Applications

Abstract: Abstract. Large process models may comprise hundreds or thousands of process elements, like activities, gateways, and data objects. Presenting such process models to users and enabling them to interact with these models constitute crucial tasks of any process-aware information systems (PAISs). Existing PAISs, however, neither provide adequate techniques for visualizing and abstracting process models nor for interacting with them. In particular, PAISs do not provide tailored process visualizations as needed in … Show more

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Cited by 12 publications
(14 citation statements)
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“…To capture the complexity of processes, process models make use of the principles of structuring and abstraction (Polyvyanyy, 2012). For example, many process models do not show information at instance level, but summarize information of different executions, while often hiding infrequent behavior (Polyvyanyy, Smirnov, & Weske, 2010;Reichert, 2013).…”
Section: 2mentioning
confidence: 99%
“…To capture the complexity of processes, process models make use of the principles of structuring and abstraction (Polyvyanyy, 2012). For example, many process models do not show information at instance level, but summarize information of different executions, while often hiding infrequent behavior (Polyvyanyy, Smirnov, & Weske, 2010;Reichert, 2013).…”
Section: 2mentioning
confidence: 99%
“…Moreover, process variability needs to be considered for other process support paradigms like, for example, data-and object-centric modeling approaches (Künzle and Reichert 2012;Reichert 2012a). Finally, proper techniques for visualizing process variant collections are required Reichert 2012b).…”
Section: Discussionmentioning
confidence: 99%
“…Their omission in the process model might lead to process models that are of little use, especially in the context of financial audits. Other scholars suggest abstraction methods such as aggregation and reduction to decrease the complexity in process models [31].…”
Section: Related Literaturementioning
confidence: 99%