Titlebook: Business Component-Based Software Engineering; Franck Barbier Book 2003 Springer Science+Business Media New York 2003 Customizing.Deployme

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The Springer International Series in Engineering and Computer Sciencehttp://image.papertrans.cn/b/image/192054.jpg

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Fuzzy Variables and Measurement Uncertainty,nd constraints whose consistent grouping generates reusable, compositional, highly abstract modules that are specific to a domain. Business components therefore migrate through the software development cycle and are connected, via a continuum, with technical components that encapsulate software faci

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Representation of Random-Fuzzy Variables, expected reductions in development time and effort will only arise if separately developed components can be made to work effectively together with minimal effort. Lengthy and costly in-situ verification and acceptance testing directly undermines the benefits of heterogeneous components and late sy

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The Mathematics of Random-Fuzzy Variables, important as a structured way of achieving effective code reuse, moving away from the ad-hoc processes that have tended to be used in the past. However, attention must be given to difficulties associated with testing a system composed of (possibly third party) components whose internal structure is

CLAN

Representation of Random-Fuzzy Variables,omplementary to the existing software environments) based on the use of the UML notation. This method, gained from considerable experience in the industrial environment, will apply to a variety of different fields: software development, business processes and knowledge management. The newly develope

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Fuzzy Variables and Measurement Uncertainty,to this, one of which is the creation of a new methodology and underpinning metamodel for CBD. This chapter focuses on these latter two components of the overall OOSPICE project. We will describe both the genesis and the results of the process components, their metamodel descriptions and their reali