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Publicaciones

Business Process Configuration According to Data Dependency Specification

Authors

PARODY NÚÑEZ, MARÍA LUISA, Teresa Gomez-Lopez, Maria , Jesus Varela-Vaca, Angel , Gasca, Rafael M.

External publication

No

Means

Appl. Sci.-Basel

Scope

Article

Nature

Científica

JCR Quartile

SJR Quartile

JCR Impact

2.217

Publication date

01/10/2018

ISI

000448653700303

Scopus Id

2-s2.0-85055343269

Abstract

Configuration techniques have been used in several fields, such as the design of business process models. Sometimes these models depend on the data dependencies, being easier to describe what has to be done instead of how. Configuration models enable to use a declarative representation of business processes, deciding the most appropriate work-flow in each case. Unfortunately, data dependencies among the activities and how they can affect the correct execution of the process, has been overlooked in the declarative specifications and configurable systems found in the literature. In order to find the best process configuration for optimizing the execution time of processes according to data dependencies, we propose the use of Constraint Programming paradigm with the aim of obtaining an adaptable imperative model in function of the data dependencies of the activities described declarative.

Keywords

business process modelling; declarative model; imperative model; model configuration; constraint programming

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