Generation and Transformation of Compliant Process Collaboration Models to BPMN

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

4 Scopus citations

Abstract

Collaboration is a key factor to successful businesses. To face massive competition in which SMEs compete with well established corporates, organizations tend to focus on their core businesses while delegating other tasks to their partners. Lately, Blockchain technology has yet furthered and eased the way companies collaborate in a trust-less environment. As such, interest in researching process collaborations models and techniques has been growing. However, in contrast to BPM research for intra-organizational processes, where a multitude of process models repositories exist as a support for simulation and work evaluation, the lack of such repositories in the context of inter-organizational processes has become an inconvenience. The aim of this paper is to build a repository of collaborative process models that will assist the research in this area. A top-down approach is used to automatically generate constrained and compliant choreography models, from which public and private process models are derived. Though the generation is partly random, it complies to a predefined set of compliance rules and parameters specified by the user.

Original languageEnglish
Title of host publicationAdvanced Information Systems Engineering - 31st International Conference, CAiSE 2019, Proceedings
EditorsPaolo Giorgini, Barbara Weber
PublisherSpringer Science and Business Media Deutschland GmbH
Pages462-478
Number of pages17
ISBN (Print)9783030212896
DOIs
StatePublished - 2019
Externally publishedYes
Event31st International Conference on Advanced Information Systems Engineering, CAiSE 2019 - Rome, Italy
Duration: 3 Jun 20197 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11483 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference31st International Conference on Advanced Information Systems Engineering, CAiSE 2019
Country/TerritoryItaly
CityRome
Period3/06/197/06/19

Keywords

  • Compliance rules
  • Process collaboration
  • Process models

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