WS-Engineer [22] is typical work for the Web service verification based on the functional properties.
We also propose an automated service verification approach based on symbolic model checking.
As discussed, most of current researches of Web service verification only verify separately hard or soft constraints of the services.
Regarding the novelty of the work presented in this paper, we want to note that using model checking to solve the Web service composition or Web service verification has already been reported in [5, 10, 12, 13, 14].
The proposed QoS monitoring system is service-driven in the sense that it aimed at providing in service verification of QoS performance guarantees for the services offered to the users by the providers.
The ability to connect data from multiple sources into one dataset, i.e., identity matching, also makes it possible to provide two value-added services: information verification and collection support service.
Then it concentrates on the development of protocol engineering, that is, the methods for the specification of communication protocols and services, the verification of protocols and their implementation and testing.
Owning a top-level domain, he argues, means owning a massively scalable database - a section of the internet itself - which can be harnessed for a multitude of purposes, such as the delivery of personalised products or services, secure verification processes, and industrial applications.
With the semantics in hand, we encode our service descriptions in a Petri Net formalism and provide decision procedures for Web service simulation, verification and composition.
