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Modeling of Web Services using Reaction Rules

Modeling of Web Services using Reaction Rules

Marko Ribaric, Shahin Sheidaei, Milan Milanovic, Dragan Gaševic, Adrian Giurca, Sergey Lukichev
Copyright: © 2010 |Pages: 25
ISBN13: 9781605669823|ISBN10: 1605669822|EISBN13: 9781605669830
DOI: 10.4018/978-1-60566-982-3.ch028
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MLA

Ribaric, Marko, et al. "Modeling of Web Services using Reaction Rules." Web Technologies: Concepts, Methodologies, Tools, and Applications, edited by Arthur Tatnall, IGI Global, 2010, pp. 478-502. https://doi.org/10.4018/978-1-60566-982-3.ch028

APA

Ribaric, M., Sheidaei, S., Milanovic, M., Gaševic, D., Giurca, A., & Lukichev, S. (2010). Modeling of Web Services using Reaction Rules. In A. Tatnall (Ed.), Web Technologies: Concepts, Methodologies, Tools, and Applications (pp. 478-502). IGI Global. https://doi.org/10.4018/978-1-60566-982-3.ch028

Chicago

Ribaric, Marko, et al. "Modeling of Web Services using Reaction Rules." In Web Technologies: Concepts, Methodologies, Tools, and Applications, edited by Arthur Tatnall, 478-502. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-982-3.ch028

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Abstract

The development process of Web services needs to focus on the modeling of business processes rather than on low-level implementation details of Web services, and yet it also needs to incorporate the support for frequent business changes. This chapter presents the UML-based Rule Language (URML) and REWERSE Rule Markup Language (R2ML), which use reaction rules (also known as Event-Condition-Action rules) for modeling Web services in terms of message exchange patterns. Web services that are being modeled in this way can easily be integrated in the wider context of modeling orchestration and choreography. In order to achieve proposed solution, we have developed a plug-in for the Fujaba UML tool (so called Strelka) and a number of model transformations for roundtrip engineering between Web services and reaction rules. Also, the paper presents mappings of models of Web services with reaction rules into the Drools rule language, thus enabling the run time execution semantics for our rule-based models.

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