Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/52697
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Type: Journal article
Title: Synthesizing Service Composition Models on the Basis of Temporal Business Rules
Author: Yu, J.
Han, Y.
Han, J.
Jin, Y.
Falcarin, P.
Morisio, M.
Citation: Journal of Computer Science and Technology, 2008; 23(6):885-894
Publisher: Springer New York LLC
Issue Date: 2008
ISSN: 1000-9000
1860-4749
Statement of
Responsibility: 
Jian Yu, Yan-Bo Han, Jun Han, Yan Jin, Paolo Falcarin and Maurizio Morisio
Abstract: Transformational approaches to generating design and implementation models from requirements can bring effectiveness and quality to software development. In this paper we present a framework and associated techniques to generate the process model of a service composition from a set of temporal business rules. Dedicated techniques including path-finding, branching structure identification and parallel structure identification are used for semi-automatically synthesizing the process model from the semantics-equivalent Finite State Automata of the rules. These process models naturally satisfy the prescribed behavioral constraints of the rules. With the domain knowledge encoded in the temporal business rules, an executable service composition program, e.g., a BPEL program, can be further generated from the process models. A running example in the e-business domain is used for illustrating our approach throughout this paper. Electronic supplementary material The online version of this article (doi: 10.1007/s11390-008-9196-x) contains supplementary material, which is available to authorized users.
Keywords: service composition
composition synthesis
behavioral model
temporal patterns
DOI: 10.1007/s11390-008-9196-x
Grant ID: http://purl.org/au-research/grants/arc/LP0775188
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Computer Science publications

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