By Eman El-Sheikh, Alfred Zimmermann, Lakhmi C. Jain
This publication offers rising traits within the evolution of service-oriented and firm architectures. New architectures and techniques of either enterprise and IT are integrating providers to aid mobility platforms, net of items, Ubiquitous Computing, collaborative and adaptive company tactics, huge info, and Cloud ecosystems. They motivate present and destiny electronic ideas and create new possibilities for the electronic transformation of subsequent electronic services and products. companies orientated Architectures (SOA) and company Architectures (EA) have emerged as an invaluable framework for constructing interoperable, large-scale platforms, often imposing quite a few criteria, like net providers, relaxation, and Microservices. coping with the variation and evolution of such structures offers an excellent problem. Service-Oriented structure allows flexibility via unfastened coupling, either among the companies themselves and among the IT firms that deal with them. agencies evolve continually via remodeling and lengthening their companies, procedures and data structures. company Architectures supply a holistic blueprint to aid outline the constitution and operation of a firm with the aim of picking how a company can such a lot successfully in achieving its pursuits. The ebook proposes numerous ways to deal with the demanding situations of the service-oriented evolution of electronic firm and software program architectures.
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In particular, ontological modeling can support SOA evolution by representing both high-level business and architectural views of the whole application as well as lower level, code-focused views. A commonly used ontology, the Open Group SOA ontology, can be extended to develop a SOA Evolution Ontology that better addresses software maintenance demands [30]. The Open Group’s ontology describes business processes, services and their interfaces in a fairly abstract manner. The maintainer needs that description, but also needs to deal with concrete implementation details as may be found in design rationale, detailed interface specifications and in code.
Caching: This constraint allows a client to match its request to a previous response from the server with the result that no request has to be transmitted over the network [14]. • Code on Demand: With the usage of Code on Demand, additional programming logic can be requested from the server that is needed for processing information received from the server [14]. • Uniform Interface: The term “uniform interface” (hereinafter the resource-oriented interface) can be seen as an umbrella term, since it can be decomposed into four sub-constraints [14]: (1) identification of resources, (2) manipulation of resources through representations, (3) self-descriptive messages, and (4) hypermedia.
Software Engineering Reviews and Audits. CRC Press, Boca Raton (2011) 18. : Ontology and taxonomy of services in a service-oriented architecture. Microsoft Archit. J. (2007) 3 Flexible and Maintainable Service-Oriented Architectures … 39 19. : Formalising service-oriented design. J. Softw. 3, 1–14 (2008) 20. : Cohesion metrics for predicting maintainability of service-oriented software. In: Seventh International Conference on Quality Software (QSIC) (2007) 21. : Coupling metrics for predicting maintainability in service-Oriented design.