Title :
Ontology-Based Change Impact Assessment in Dynamic Business Processes
Author :
Kherbouche, Oussama Mohammed ; Ahmad, Ayaz ; Bouneffa, Mourad ; Basson, Henri
Author_Institution :
Lab. d´Inf., Signal et Image de la Cote d´Opale, Univ. Lille Nord de France, Calais, France
Abstract :
The business process models are often subjected to change rapidly in order to cope with the market demands. It may be useful for companies to adapt a monitoring mechanism to achieve flexible business process models. It is also desirable to control the ripple effects of a change on whole or part of the business process and its running instances. It requires an exhaustive understanding of concerned changes and their application levels. In this article, we propose a methodology based on dependency analysis for an a priori change impact analysis in the business process models. The approach is based on the ontology definitions to describe the dependency relationships. The major objective is to obtain a knowledge base to help the designers and business experts to estimate the associated risk of intended changes and the effort required for their implementation.
Keywords :
business data processing; knowledge based systems; ontologies (artificial intelligence); a priori change impact analysis; business process models; dependency analysis; dependency relationships; dynamic business processes; knowledge base; monitoring mechanism; ontology definitions; ontology-based change impact assessment; Adaptation models; Analytical models; Business; OWL; Ontologies; Process control; Semantics; Business process model; Ontology; change impact analysis; dependency relationships;
Conference_Titel :
Frontiers of Information Technology (FIT), 2013 11th International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4799-2293-2
DOI :
10.1109/FIT.2013.50