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.
|Title of host publication||Proceedings of the Demonstration Track of the 10th International Conference on Business Process Management (BPM 2012), Tallinn, Estonia, September 4, 2012|
|Editors||N. Lohmann, S. Moser|
|Publication status||Published - 2012|
|Name||CEUR Workshop Proceedings|