Context sensitive grammar for composing business process model variants

Riyanarto Sarno*, W. Widyasari Ayu, A. Nurul Fajrin, Djauhar Manfaat, M. Sholikhan Arif, Imam Baihaqi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Composing business process model variants is an activity to form a new variety of business process models in order to fulfill user needs. Nowadays business process model design has been done in various ways. Many well-known approaches tried to specify variants by different process models or expressed them in terms of conditional branches within the same process model. Those two approaches might lead to error prone and redundancy. Another approaches constitute basic parts of a business process and then prepares a method of editing the model afterward. Although this approach is a flexible way to form a suitable model based on user needs, it might not form a correct variation. A correct variation can be constituted if pattern or rule of variation is well defined and applied during business process model composition. In this paper we proposed a form of contextual modelling concept based on Context Sensitive Grammar approach, which provides a flexible and correct methods to compose business variants process. The result show that Context Sensitive Grammar of a certain process variant can be constituted properly based on formal rules by applying a set of affirm production rules during variant model design.

Original languageEnglish
Title of host publicationProceedings - 2015 International Conference on Science in Information Technology
Subtitle of host publicationBig Data Spectrum for Future Information Economy, ICSITech 2015
EditorsYana Hendriana, Andri Pranolo, Adhi Prahara, Dewi Pramudi Ismi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages53-57
Number of pages5
ISBN (Electronic)9781479983865
DOIs
Publication statusPublished - 16 Feb 2016
EventInternational Conference on Science in Information Technology, ICSITech 2015 - Yogyakarta, Indonesia
Duration: 27 Oct 201528 Oct 2015

Publication series

NameProceedings - 2015 International Conference on Science in Information Technology: Big Data Spectrum for Future Information Economy, ICSITech 2015

Conference

ConferenceInternational Conference on Science in Information Technology, ICSITech 2015
Country/TerritoryIndonesia
CityYogyakarta
Period27/10/1528/10/15

Keywords

  • context sensitive grammar
  • contextual modelling
  • process design methods
  • process variant management

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