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To manage the size and complexity of business process models, the use of subprocesses\nis widely advocated. In this paper, we provide a review of work with respect\nto the modularization of business process models, which points at a lack of solid evidence\nfor its bene??ts and the absence of clear criteria for identifying subprocesses.\nIn response to this, we conducted an empirical investigation to test the e??ectiveness\nof using subprocesses in real-life process models. Our results suggest that modularization\nmay foster the understanding of a complex business process model by its\n\\information hiding" quality. Furthermore, we explored di??erent categories of criteria\nthat can be used to automatically derive process fragments that seem suitable\nto capture as subprocesses. From this exploration, approaches that consider the\nconnectedness of subprocesses seem most attractive to pursue. This conclusion can\nbe used to develop tool support for the modularization of business process models.
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