Rapid Integration of Software Engineering Techniques: First by Christopher Nelson, Jung Soo Kim (auth.), Nicolas Guelfi

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By Christopher Nelson, Jung Soo Kim (auth.), Nicolas Guelfi (eds.)

This booklet constitutes the completely refereed postproceedings of the 1st overseas Workshop on fast Integration of software program Engineering innovations, upward push 2004, held in Luxembourg-Kirchberg, Luxembourg in November 2004.

The 12 revised complete papers offered including an invited paper went via rounds of reviewing and development and have been chosen from 28 preliminary submissions. one of the themes addressed are software program structure, software program approach, component-driven layout, dynamic provider verification, version checking, model-based trying out, exception dealing with, metamodeling, UML, kingdom machines, and model-centric development.

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Extra info for Rapid Integration of Software Engineering Techniques: First International Workshop, RISE 2004, Luxembourg-Kirchberg, Luxembourg, November 26, 2004. Revised Selected Papers

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1 Introduction Ever since Konrad Zuse developed the first programming language, Plankalkül [1], in the 1940’s, engineers have been striving to make software development more like other engineering disciplines in which new products are created primarily by assembling standardized parts. When automotive engineers design new cars or electronic engineers design new computers they don’t have to develop every part of the new product from the ground up but they instead combine domain components such as engines and computer chips etc.

This will keep the number of states very low, instead of verifying the compatibility of the whole behavior of the components. We used the type language developed in [CFN05], preferred because of its high level of abstraction. In this setting, each component must satisfy a contract, which specifies the behavioral type of its interfaces; an assembly of components is sound if connected interfaces are compatible. This work is part of the TAPAS project (Telematics Architecture for Playbased Adaptable System), which goal is to enhance the flexibility, efficiency and simplicity of system deployment, operation and management by enabling dynamic configuration of network-based service functionality.

Stack Component Behavioral Model Fig. 5 completes the specification of the stack by documenting its behavioral properties in terms of the externally visible states and state transitions. These three models (structural, functional and behavioral) provide a minimal yet complete specification of the stack component’s externally visible properties. If any feature from any one of these models is missed out, vital information about the component is missing, whereas the addition of additional features provides no further information about how to use the component.

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