Variability in process-based service compositions needs to be explicitly modeled and managed in order to facilitate service/process customization and increase reuse in service/process development. While related work has been able to capture variability and variability dependencies within a composition, these approaches fail to capture variability dependenciesbetween the composition and partner services. Consequently, these approaches cannot address the situation when a composite service is orchestrated from partner services some of which are customizable. In this paper, we propose a feature-based approach that is able to effectively model variability within and across compositions. The approach is supported by a process development methodology that enables the systematic reuse and management of variability. We develop a prototype system supporting extended BPMN 2.0 to demonstrate the feasibility of our approach. © 2011 Springer-Verlag.
CITATION STYLE
Nguyen, T., Colman, A., & Han, J. (2011). Modeling and managing variability in process-based service compositions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7084 LNCS, pp. 404–420). https://doi.org/10.1007/978-3-642-25535-9_27
Mendeley helps you to discover research relevant for your work.