面向上下文编程中的运行时适应

Bo Han, Yinliang Zhao, Changpeng Zhu, Qinghua Zeng
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引用次数: 2

摘要

上下文感知对于移动和无处不在的计算变得更加重要,因为应用程序需要动态地调整其行为以适应其执行环境。面向上下文的编程语言支持动态行为适应,但是,它们不支持应用程序代码中的动态更改。这使得在遇到任何不稳定的情况下,它们对应用程序行为的运行时适应性提供的支持很少。本文提出了DLA框架的设计和实现,该框架使用应用程序契约将层激活策略与应用程序的业务逻辑分离,并使用对象组合和委托来动态调整对象的行为。通过这些特性,DLA框架使应用程序行为和代码能够根据其执行环境进行动态调整。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Runtime Adaptation in Context-Oriented Programming
Context-awareness is becoming even more critical for mobile and ubiquitous computing, where the application needs to dynamically adapt its behavior to its execution environment. Context-oriented programming languages support dynamic behavior adaptation, however, they do not support for dynamic changes in the application code. This makes that they provide little support for the runtime adaptation of application behavior in case of any instability encountered. In this paper, we present the design and implementation of DLA framework, which uses the application contract to separate the policy of layer activation from the application's business logic, and which uses object composition and delegation to dynamically adjust the behavior of objects. With these features, DLA framework enables the application behavior and code to be dynamically adapted according to its execution environment.
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