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A Comprehensive Solution For Application-level Adaptation

机译:应用级适应的综合解决方案

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Driven by the emergence of mobile and pervasive computing there is a growing demand for context-aware software systems that can dynamically adapt to their run-time environment. We present the results of project MADAM that has delivered a comprehensive solution for the development and operation of context-aware, self-adaptive applications. The main contributions of MADAM are (a) a sophisticated middleware that supports the dynamic adaptation of component-based applications, and (b) an innovative model-driven development methodology that is based on abstract adaptation models and corresponding model-to-code transformations. MADAM has demonstrated the viability of a general, integrated approach to application-level adaptation. We discuss our experiences with two real-world case studies that were built using the MADAM approach.
机译:在移动计算和普适计算的兴起的推动下,对能够动态适应其运行时环境的上下文感知软件系统的需求日益增长。我们介绍了MADAM项目的结果,该项目已为上下文感知的自适应应用程序的开发和运行提供了全面的解决方案。 MADAM的主要贡献是(a)支持基于组件的应用程序动态适应的复杂中间件,以及(b)基于抽象适应模型和相应的模型到代码转换的创新的模型驱动开发方法。 MADAM展示了一种通用的,集成的方法在应用程序级适应中的可行性。我们将讨论使用MADAM方法构建的两个实际案例研究的经验。

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