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Programming in a context-aware language

机译:使用上下文感知语言编程

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In the times of mobility and pervasiveness of computing, contextual information plays an increasingly crucial role in applications. This kind of information becomes a first class citizen in context-oriented programming (COP) paradigm. COP languages provide primitive constructs for easily writing applications that adapt their behaviour depending on the evolution of their operational environment, namely the context. We present these new constructs, the issues and the challenges that arise, reporting on our recent work on MLCoDa. It is a declarative language specifically designed for adaptation and equipped with a clear formal semantics and analysis tools. We will discuss some experiments done with a preliminary implementation of MLCoDa. Through them we will show how applications and context interactions can be better specified, analysed and controlled.
机译:在计算的移动性和普及性时代,上下文信息在应用程序中扮演着越来越重要的角色。这种信息成为面向上下文编程(COP)范例中的头等公民。 COP语言提供了原始结构,可轻松编写可根据其操作环境(即上下文)的发展而适应其行为的应用程序。我们介绍了这些新结构,出现的问题和挑战,并报告了我们最近在MLCoDa上所做的工作。它是一种专门为适应而设计的声明性语言,并配有清晰的形式语义和分析工具。我们将讨论通过MLCoDa的初步实现完成的一些实验。通过它们,我们将展示如何更好地指定,分析和控制应用程序和上下文交互。

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