Issue |
ITM Web Conf.
Volume 15, 2017
II International Conference of Computational Methods in Engineering Science (CMES’17)
|
|
---|---|---|
Article Number | 01002 | |
Number of page(s) | 8 | |
Section | Application Of Computer Programs In Technology | |
DOI | https://doi.org/10.1051/itmconf/20171501002 | |
Published online | 15 December 2017 |
Decomposition of business process models into reusable sub-diagrams
AGH University of Science and Technology, Department of Applied Computer Science, al. Mickiewicza 30, 30-059 Krakow, Poland
* Corresponding author: wpiotr@agh.edu.pl
In this paper, an approach to automatic decomposition of business process models is proposed. According to our method, an existing BPMN diagram is disassembled into reusable parts containing the desired number of elements. Such elements and structure can work as design patterns and be validated by a user in terms of correctness. In the next step, these component models are categorised considering their parameters such as resources used, as well as input and output data. The classified components may be considered a repository of reusable parts, that can be further applied in the design of new models. The proposed technique may play a significant role in facilitating the business process redesign procedure, which is of a great importance regarding engineering and industrial applications.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.