Title Business Process Configuration According to Data Dependency Specification
Authors PARODY NÚÑEZ, MARÍA LUISA, Teresa Gomez-Lopez, Maria, Jesus Varela-Vaca, Angel, Gasca, Rafael M., PARODY NÚÑEZ, MARÍA LUISA
External publication No
Means Appl. Sci.-Basel
Scope Article
Nature Científica
JCR Quartile 2
SJR Quartile 1
JCR Impact 2.21700
Area International
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055343269&doi=10.3390%2fapp8102008&partnerID=40&md5=cabd620939a9e921c7124a772941b81b
Publication date 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 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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