Generating Persistence Structures for the Integration of Data and Control Aspects in Business Process Monitoring

Eladio Domínguez, Beatriz Pérez, Ángel L. Rubio, María A. Zapata, Alberto Allué, Antonio López

2018

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@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},
}

in EndNote Style

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