2015
DOI: 10.1016/j.infsof.2014.05.009
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VIVACE: A framework for the systematic evaluation of variability support in process-aware information systems

Abstract: Context: The increasing adoption of process-aware information systems (PAISs) such as workflow management systems, enterprise resource planning systems, or case management systems, together with the high variability in business processes (e.g., sales processes may vary depending on the respective products and countries), has resulted in large industrial process model repositories. To cope with this business process variability, the proper management of process variants along the entire process lifecycle become… Show more

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Cited by 60 publications
(100 citation statements)
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References 110 publications
(101 reference statements)
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“…The latter can be related to context variables to enable the application of changes matching to different situations. Finally, [14], [15] provide a comprehensive overview of existing approaches targeting process variability.…”
Section: Process Configurationmentioning
confidence: 99%
“…The latter can be related to context variables to enable the application of changes matching to different situations. Finally, [14], [15] provide a comprehensive overview of existing approaches targeting process variability.…”
Section: Process Configurationmentioning
confidence: 99%
“…One aspect is the extension of process modeling languages to enable configurable process models [3]. Other approaches like [4] target meta-modeling of various different aspects for process variability.…”
Section: Related Workmentioning
confidence: 99%
“…To overcome issues that relate to the modeling of process variants, various approaches have been proposed to incorporate variant management into the phases of the business process management (BPM) life-cycle [9]. The literature provides a categorization and comparison of available approaches [5,9,10].…”
Section: Introductionmentioning
confidence: 99%
“…The literature provides a categorization and comparison of available approaches [5,9,10]. However, in real-life settings, it is difficult for an organization to make the proper choice between variant modeling approaches.…”
Section: Introductionmentioning
confidence: 99%
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