Título Business Process Configuration According to Data Dependency Specification
Autores PARODY NÚÑEZ, MARÍA LUISA, Teresa Gomez-Lopez, Maria , Jesus Varela-Vaca, Angel , Gasca, Rafael M.
Publicación externa No
Medio Appl. Sci.
Alcance Article
Naturaleza Científica
Cuartil JCR 2
Cuartil SJR 1
Impacto JCR 2.21700
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055343269&doi=10.3390%2fapp8102008&partnerID=40&md5=cabd620939a9e921c7124a772941b81b
Fecha de publicacion 01/10/2018
ISI 000448653700303
Scopus Id 2-s2.0-85055343269
DOI 10.3390/app8102008
Abstract Configuration techniques have been used in several fields, such as the\n design of business process models. Sometimes these models depend on the\n data dependencies, being easier to describe what has to be done instead\n of how. Configuration models enable to use a declarative representation\n of business processes, deciding the most appropriate work-flow in each\n case. Unfortunately, data dependencies among the activities and how they\n can affect the correct execution of the process, has been overlooked in\n the declarative specifications and configurable systems found in the\n literature. In order to find the best process configuration for\n optimizing the execution time of processes according to data\n dependencies, we propose the use of Constraint Programming paradigm with\n the aim of obtaining an adaptable imperative model in function of the\n data dependencies of the activities described declarative.
Palabras clave business process modelling; declarative model; imperative model; model configuration; constraint programming
Miembros de la Universidad Loyola

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