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The format it utilized for documenting patterns has been widely adopted by subsequent patterns initiatives. • [14] introduces the notion of workflow patterns, which constitute desirable features for workflow languages and systems. In this article, 20 control-flow patterns are presented, and their occurrence in a variety of commercial and academic workflow systems is evaluated. Subsequent extensions to this work include: — [115], which extends the range of identified control-flow patterns to 43 distinct constructs.

Traditionally, much of the focus of business process modeling has been on the controlflow aspects; however, there are also other considerations in regard to data and resource handling that are of particular importance when attempting to develop business process definitions that closely mirror real-life scenarios. The representation and usage of data within a process is of fundamental importance as in practice, almost every process involves the coordination of business tasks based on various items of information available both within and outside of the context of the business process.

5. 6. 7. 8. 9. 10. 11. 12. 13. the as-is or to-be situation. If the model only describes the desired behavior, then it is called normative. , to enact or verify a process). Use case discover model from event data (DiscM) refers to the automated generation of a process model using process mining techniques [3]. , process mining describes a family of a posteriori analysis techniques exploiting the information recorded in audit trails, transaction logs, databases, etc). The (semi-)automated construction of process models is an alternative for DesM.

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