@inproceedings{db0fdecab2784e44ae2faa516dddd58d,
title = "Automatic extraction of process categories from process model collections",
abstract = "Many organizations build up their business process management activities in an incremental way. As a result, there is no overarching structure defined at the beginning. However, as business process modeling initiatives often yield hundreds to thousands of process models, there is a growing need for such a structure. This challenge calls for a technique to extract process categories from a set of process models automatically which yields an up-to-date view of the structure of a collection of process models. It also provides a means to check whether pre-defined process categories are still reasonable. In this paper, we introduce a technique for automatically extracting process categories from process model collections and test it using a collection from industry. The results demonstrate the usefulness of the technique by revealing issues of the pre-existing process categories. In this way, we contribute to the field of process model management and quality assurance.",
author = "M. Malinova and R.M. Dijkman and J. Mendling",
year = "2014",
doi = "10.1007/978-3-319-06257-0\_34",
language = "English",
isbn = "978-3-319-06257-0",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer",
pages = "430--441",
editor = "N. Lohmann and M. Song and P. Wohed",
booktitle = "Business Process Management Workshops : BPM 2013 International Workshops, Beijing, China, August 26, 2013, Revised Papers",
address = "Germany",
}