2009
DOI: 10.1007/978-3-642-04856-2_2
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From Requirements via Colored Workflow Nets to an Implementation in Several Workflow Systems

Abstract: Abstract. Hospitals and other healthcare organizations need to support complex and dynamic workflows. Moreover, these processes typically invoke a number of medical disciplines. This makes it important to avoid the typical disconnect between requirements and the actual implementation of the system. In this paper we apply a development approach where an Executable Use Case (EUC) and a Colored Workflow Net (CWN) are used to close the gap between a given requirements specification and the realization of these req… Show more

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Cited by 11 publications
(4 citation statements)
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“…The gynecological healthcare process, shown in Figure 3, has been validated by animation as described in [12]. When animating the process it was asked to users whether something was missing or should be added.…”
Section: Validationmentioning
confidence: 99%
“…The gynecological healthcare process, shown in Figure 3, has been validated by animation as described in [12]. When animating the process it was asked to users whether something was missing or should be added.…”
Section: Validationmentioning
confidence: 99%
“…The quality of verification thereby strongly depends on the precision of the process‐to‐Petri‐net mapping . In particular, there is a trade‐off between effectivity and precision, as properties such as soundness or controllability are, in general, undecidable for fully specified processes, as their verification is linked to the halting problem . For this reason, more often than not, process data are omitted so that the used Petri net models merely represent the processes' control flow.…”
Section: Introductionmentioning
confidence: 99%
“…First of all this paper will give a brief overview over the family of interrelated tools that are used for Petri net-based AOSE (for other approaches compare [1] or [16]). Apart from the base set there are tools for designing and creating, as well as tools for debugging, monitoring, and testing 1 multi-agent applications.…”
Section: Introductionmentioning
confidence: 99%