Preprint Article Version 1 This version is not peer-reviewed

Business Process Configuration according to Data Dependency Specification

Version 1 : Received: 3 October 2018 / Approved: 4 October 2018 / Online: 4 October 2018 (14:18:32 CEST)

A peer-reviewed article of this Preprint also exists.

Parody, L.; Gómez-López, M.T.; Varela-Vaca, A.J.; Gasca, R.M. Business Process Configuration according to Data Dependency Specification. Appl. Sci. 2018, 8, 2008. Parody, L.; Gómez-López, M.T.; Varela-Vaca, A.J.; Gasca, R.M. Business Process Configuration according to Data Dependency Specification. Appl. Sci. 2018, 8, 2008.

Journal reference: Appl. Sci. 2018, 8, 2008
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.

Subject Areas

Business Process Modelling; Declarative Model; Imperative Model; Model Configuration; Constraint Programming

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