面向特征的上下文感知自适应系统的进化

P. Inverardi, Marco Mori
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引用次数: 16

摘要

上下文感知自适应系统是处理环境不确定性的一种很有前途的方法。他们的能力是执行由上下文驱动的运行时适应,从而促进软件向规范发展,而不是将其视为例外。我们已经确定了系统应该能够执行的两种不同的进化。在可预见的演变中,上下文是完全特征化的,而在不可预见的演变中,上下文随着用户需要的新功能而不断更新。这两种演变都是使用基于特征工程方法的系统符号来表示的,该方法将需求、规范和上下文假设联系起来。提出了面向未来系统变体的一致演化的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feature oriented evolutions for context-aware adaptive systems
Context-aware adaptive systems are a promising approach to deal with the uncertainty shown by the environment. Their ability is to perform run-time adaptations driven by the context thus promoting software evolution to the norm rather than considering it as an exception. We have identified two different kind of evolutions that the system should be able to perform. In the foreseen evolution the context is completely characterized whereas in the unforeseen evolution the context is keep updated as new functionalities are required by the user. Both evolutions are presented using a system notation based on the feature engineering approach that relates requirement, specification and context assumptions. A notion of consistent evolution toward the future system variant is proposed.
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