Generating persistence structures for the integration of data and control aspects in business process monitoring

  1. Domínguez, E. 1
  2. Pérez, B. 2
  3. Rubio, A.L. 2
  4. Zapata, M.A. 1
  5. Allué, A. 3
  6. López, A. 3
  1. 1 Universidad de Zaragoza
    info

    Universidad de Zaragoza

    Zaragoza, España

    ROR https://ror.org/012a91z28

  2. 2 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  3. 3 Infozara Consultoría Informática, Zaragoza, Spain
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Libro:
ICEIS 2018 - Proceedings of the 20th International Conference on Enterprise Information Systems

ISBN: 9789897582981

Año de publicación: 2018

Volumen: 2

Páginas: 320-327

Congreso: 20th International Conference on Enterprise Information Systems ICEIS 2018. March 21-24, 2018, in Funchal, Madeira, Portugal

Tipo: Aportación congreso

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DOI: 10.5220/0006781903200327 SCOPUS: 2-s2.0-85047775762 GOOGLE SCHOLAR
Repositorio institucional: lock_openAcceso abierto Editor

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Resumen

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. © 2018 by SCITEPRESS - Science and Technology Publications, Lda.