Automatic generation of optimal business processes from business rules

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Abstract

In recent years, business process models are increasingly being used as a means for business process improvement. Business rules can be seen as requirements for business processes, in that they describe the constraints that must hold for business processes that implement these business rules. Therefore, in principle one could devise (automated) transformations from business rules to business processes. These transformations should improve the quality (correctness) of business processes, by imposing their conformance to the applicable business rules, and should also allow business processes to be optimized for some additional requirements, like, for example, resource allocation, performance and costs. The objectives of this paper are twofold: to investigate the automated support to transform business rules into optimized processes, and to assess the suitability of model-driven technologies (metamodeling and transformations) and tools to implement these transformations.
Original languageUndefined
Title of host publication14th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW), 2010
Place of PublicationLos Alamitos, CA, USA
PublisherIEEE Computer Society
Pages117-126
Number of pages10
ISBN (Print)978-0-7695-4164-8
DOIs
Publication statusPublished - Oct 2010
Event14th IEEE International Enterprise Distributed Object Computing Conference EDOC 2010 - Vitoria, Brazil
Duration: 25 Oct 201029 Oct 2010
Conference number: 14

Publication series

Name
PublisherIEEE Computer Society

Conference

Conference14th IEEE International Enterprise Distributed Object Computing Conference EDOC 2010
Abbreviated titleEDOC
CountryBrazil
CityVitoria
Period25/10/1029/10/10

Keywords

  • METIS-271900
  • EWI-18765
  • SCS-Services
  • IR-74478

Cite this

Steen, B., Ferreira Pires, L., & Iacob, M. E. (2010). Automatic generation of optimal business processes from business rules. In 14th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW), 2010 (pp. 117-126). Los Alamitos, CA, USA: IEEE Computer Society. https://doi.org/10.1109/EDOCW.2010.40