License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICDT.2015.247
URN: urn:nbn:de:0030-drops-49886
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2015/4988/
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Koutsos, Adrien ; Vianu, Victor

Process-Centric Views of Data-Driven Business Artifacts

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Abstract

Declarative, data-aware workflow models are becoming increasingly pervasive. While these have numerous benefits, classical process-centric specifications retain certain advantages. Workflow designers are used to development tools such as BPMN or UML diagrams, that focus on control flow. Views describing valid sequences of tasks are also useful to provide stake-holders with high-level descriptions of the workflow, stripped of the accompanying data. In this paper we study the problem of recovering process-centric views from declarative, data-aware workflow specifications in a variant of IBM's business artifact model. We focus on the simplest and most natural process-centric views, specified by finite-state transition systems, and describing regular languages. The results characterize when process-centric views of artifact systems are regular, using both linear and branching-time semantics. We also study the impact of data dependencies on regularity of the views.

BibTeX - Entry

@InProceedings{koutsos_et_al:LIPIcs:2015:4988,
  author =	{Adrien Koutsos and Victor Vianu},
  title =	{{Process-Centric Views of Data-Driven Business Artifacts}},
  booktitle =	{18th International Conference on Database Theory (ICDT 2015)},
  pages =	{247--264},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-79-8},
  ISSN =	{1868-8969},
  year =	{2015},
  volume =	{31},
  editor =	{Marcelo Arenas and Mart{\'i}n Ugarte},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2015/4988},
  URN =		{urn:nbn:de:0030-drops-49886},
  doi =		{10.4230/LIPIcs.ICDT.2015.247},
  annote =	{Keywords: Workflows, data-aware, process-centric, views}
}

Keywords: Workflows, data-aware, process-centric, views
Collection: 18th International Conference on Database Theory (ICDT 2015)
Issue Date: 2015
Date of publication: 19.03.2015

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