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Authors: Eladio Domínguez 1 ; Beatriz Pérez 2 ; Ángel L. Rubio 2 ; María A. Zapata 1 ; Alberto Allué 3 and Antonio López 3

Affiliations: 1 Universidad de Zaragoza, Spain ; 2 Universidad de La Rioja, Spain ; 3 Infozara Consultoría Informática, Spain

ISBN: 978-989-758-298-1

Keyword(s): Model–driven Approach, Development of Monitoring Systems, Process Flow and Data Integration, UML, Occurrence–centric.

Related Ontology Subjects/Areas/Topics: Enterprise Information Systems ; Information Systems Analysis and Specification ; Model Driven Architectures and Engineering ; Tools, Techniques and Methodologies for System Development

Abstract: Today’s organizations have to monitor increasingly complex business processes that handle large amounts of data. In this context, it is essential to design working frameworks that seamlessly integrate both control flow and data perspectives. Such an integration can be eased by automatically generating the infrastructures for storing data and control aspects. Towards this goal, we propose an automatic process for synthesizing persistence structures for control flow and data storage. In particular, based on an approach centered on the concept of Occurrence, in this paper we present a proposal by means of which, after applying several translation patterns to a business process model, we automatically generate the persistence structures that integrate both data and control aspects of such model. The feasibility of this proposal is demonstrated by developing a prototype and evaluating its application to different examples taken from the literature as a benchmark.

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Paper citation in several formats:
Domínguez, E.; Pérez, B.; Rubio, Á.; Zapata, M.; Allué, A. and López, A. (2018). Generating Persistence Structures for the Integration of Data and Control Aspects in Business Process Monitoring.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-298-1, pages 320-327. DOI: 10.5220/0006781903200327

@conference{iceis18,
author={Eladio Domínguez. and Beatriz Pérez. and Ángel L. Rubio. and María A. Zapata. and Alberto Allué. and Antonio López.},
title={Generating Persistence Structures for the Integration of Data and Control Aspects in Business Process Monitoring},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2018},
pages={320-327},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006781903200327},
isbn={978-989-758-298-1},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Generating Persistence Structures for the Integration of Data and Control Aspects in Business Process Monitoring
SN - 978-989-758-298-1
AU - Domínguez, E.
AU - Pérez, B.
AU - Rubio, Á.
AU - Zapata, M.
AU - Allué, A.
AU - López, A.
PY - 2018
SP - 320
EP - 327
DO - 10.5220/0006781903200327

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