Detecting approximate clones in process model repositories with Apromore

C.C. Ekanayake, F. Mannhardt, L. García-Bañuelos, M. La Rosa, M. Dumas, A.H.M. Hofstede, ter

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
3 Downloads (Pure)


Approximate clone detection is the process of identifying similar process fragments in business process model collections. The tool presented in this paper can efficiently cluster approximate clones in large process model repositories. Once a repository is clustered, users can filter and browse the clusters using different filtering parameters. Our tool can also visualize clusters in the 2D space, allowing a better understanding of clusters and their member fragments. This demonstration will be useful for researchers and practitioners working on large process model repositories, where process standardization is a critical task for increasing the consistency and reducing the complexity of the repository.
Original languageEnglish
Title of host publicationProceedings of the Demonstration Track of the 10th International Conference on Business Process Management (BPM 2012), Tallinn, Estonia, September 4, 2012
EditorsN. Lohmann, S. Moser
Publication statusPublished - 2012

Publication series

NameCEUR Workshop Proceedings
ISSN (Print)1613-0073


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