Analysis of business process variants in Apromore

Conforti, Raffaele, Dumas, Marlon, La Rosa, Marcello, Maaradji, Abderrahmane, Nguyen, Hoang Huy, Ostovar, Alireza, & Raboczi, Simon (2015) Analysis of business process variants in Apromore. In Daniel, Florian & Zugal, Stefan (Eds.) Proceedings of the Demo Track of the 13th International Conference on Business Process Management (BPM’15), Innsbruck, Austria.

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Abstract

In this paper we illustrate a set of features of the Apromore process model repository for analyzing business process variants. Two types of analysis are provided: one is static and based on differences on the process control flow, the other is dynamic and based on differences in the process behavior between the variants. These features combine techniques for the management of large process model collections with those for mining process knowledge from process execution logs. The tool demonstration will be useful for researchers and practitioners working on large process model collections and process execution logs, and specifically for those with an interest in understanding, managing and consolidating business process variants both within and across organizational boundaries.

Impact and interest:

2 citations in Scopus
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ID Code: 86669
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Apromore, ProDrift, BPMN Miner, Log Replay, Process Merger, Process Similarity, Variants Analysis
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Conceptual Modelling (080603)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Database Management (080604)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Information Systems not elsewhere classified (080699)
Divisions: Current > Institutes > Institute for Future Environments
Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 for this paper by its authors
Copyright Statement: Copying permitted for private and academic purposes.
Deposited On: 20 Aug 2015 23:54
Last Modified: 17 Sep 2016 12:36

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