The ICoP framework: Identification of correspondences between process models

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Abstract

Business process models can be compared, for example, to determine their consistency. Any comparison between process models relies on a mapping that identifies which activity in one model corresponds to which activity in another. Tools that generate such mappings are called matchers. This paper presents the ICoP framework, which can be used to develop such matchers. It consists of an architecture and re-usable matcher components. The framework enables the creation of matchers from the re-usable components and, if desired, newly developed components. It focuses on matchers that also detect complex correspondences between groups of activities, where existing matchers focus on 1:1 correspondences. We evaluate the framework by applying it to find matches in process models from practice. We show that the framework can be used to develop matchers in a flexible and adaptable manner and that the resulting matchers can identify a significant number of complex correspondences. © Springer-Verlag Berlin Heidelberg 2010.

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APA

Weidlich, M., Dijkman, R., & Mendling, J. (2010). The ICoP framework: Identification of correspondences between process models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6051 LNCS, pp. 483–498). https://doi.org/10.1007/978-3-642-13094-6_37

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