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Detecting approximate clones in process model repositories with Apromore

Ekanayake, Chathura C., Mannhardt, Felix, Garcia-Banuelos, Luciano, La Rosa, Marcello, Dumas, Marlon, & ter Hofstede, Arthur H.M. (2012) Detecting approximate clones in process model repositories with Apromore. In Demo Track of the 10th International Conference on Business Process Mangement, 3-6 September 2012, Tallinn, Estonia.

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    Abstract

    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.

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    ID Code: 54655
    Item Type: Conference Paper
    Keywords: busines process management, process model collections, process standardization, clustering
    Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
    Divisions: Current > Schools > School of Information Systems
    Copyright Owner: Copyright 2012 [Please Consult the The Authors]
    Deposited On: 08 Nov 2012 08:22
    Last Modified: 16 Feb 2013 17:01

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