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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/115683...
Part of book or chapter of book . 2005 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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Verifying Web Services Composition

Authors: Yanping Yang; QingPing Tan; Yong Xiao;

Verifying Web Services Composition

Abstract

Current Web services composition proposals, such as BPEL, BPSS or WSCI, provide notations for describing the control and message flows in service collaborations. However, they remain at the descriptive level, without providing any kind of mechanisms or tool support for verifying the composition specified in them. In this paper, we present an approach based on CP-net formalism to analyze and verify Web services composition. We provide translation scheme from composition language into CP-nets and the techniques to analyze and verify effectively the CP-nets to investigate several behavioral properties. Our approach is essentially independent of the language describing composition. As an example, to show the effectiveness of our technique, in this paper, we present the transformation of WSCI to CP-nets, which can be analyzed, verified and simulated as prototypes of WSCI models by the CP-net tools.

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
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