自适应软件系统的高质量规范

Markus Luckey, G. Engels
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引用次数: 49

摘要

当今的软件系统必须应对不断变化的环境,同时还要面对诸如灵活性和可靠性等高非功能要求。最近,这些非功能性需求是使用自适应特性来解决的,也就是说,系统监视其环境并根据变化调整其结构或行为。在经典的模型驱动软件工程方法中,自适应引入了额外的复杂性,因为自适应特征以横切的方式分布在模型中的各种不同位置,导致紧密交织的模型景观难以理解和维护。处理这个问题的一个特殊解决方案是关注点分离(SoC),关注自适应性的特定关注点,并允许深入分析。应用SoC需要合适的开发过程、语言和技术,例如,用于质量保证。在本文中,我们提出了一种自适应软件系统规范的方法,使用一种基于UML的特定于关注的建模语言,称为自适应案例建模语言(ACML),该语言允许对自适应关注进行分离和显式的规范。基于形式化语义,我们展示了如何将质量保证技术应用于建模的自适应系统,从而能够提供有关自适应特征(如自适应规则集稳定性和死锁自由)的硬保证。此外,我们还展示了语言和技术如何与现有的软件开发过程集成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-quality specification of self-adaptive software systems
Today' software systems have to cope with changing environments while at the same time facing high non-functional requirements such as flexibility and dependability. Recently, these non-functional requirements are addressed using self-adaptivity features, that is, the system monitors its environment and adjusts its structure or behavior in reaction to changes. In classical model-driven software engineering approaches, self-adaptivity introduces additional complexity since self-adaptation features are distributed in a cross-cutting manner at various different locations in the models, resulting in a tightly interwoven model landscape that is hard to understand and maintain. A particular solution to cope with this problem is the separation of concerns (SoC) to focus on the specific concern of self-adaptivity and allow in-depth analyses. Applying SoC requires suitable development processes, languages, and techniques, e.g., for quality assurance, to be available. In this paper, we present a method for the specification of self-adaptive software systems using a UML based concern-specific modeling language called Adapt Case Modeling Language (ACML) that allows the separated and explicit specification of self-adaptivity concerns. Based on formal semantics we show how to apply quality assurance techniques to the modeled self-adaptive system, which enable the provisioning of hard guarantees concerning self-adaptivity characteristics such as adaptation rule set stability and deadlock freedom. Further, we show how the language and techniques integrate with existing software development processes.
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