In a dynamic environment, business process needs to be adjusted and evolved in response to the changeable internal policies and external environment. However, it is a time-consuming and laborious way by redesigning process model and executing the process instance. In this paper, we propose a rule-oriented approach to dynamically generate business process according to the current context at runtime. To enable dynamic and context-aware adaptation, the relationship between services and context is described as rules, which are then used to generate the solution with a mapping mechanism. Two algorithms are designed to generate the activity sequence at runtime, which is the solution of process adaptation. In order to achieve the preference selection, a process assessment strategy has been proposed to constrain the generated activity sequence. Simulation experiments have been conducted to demonstrate the efficiency of our approach. © Springer International Publishing Switzerland 2014.
CITATION STYLE
Hu, G., Wu, B., & Chen, J. (2014). Dynamic adaptation of business process based on context changes: A rule-oriented approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8377 LNCS, pp. 492–504). Springer Verlag. https://doi.org/10.1007/978-3-319-06859-6_43
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