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From software verification to 'everyware' verification

机译:从软件验证到“所有软件”验证

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Ubiquitous computing is a vision of computing in which the computer disappears from view and becomes embedded in our environment, in the equipment we use, in our clothes, and even in our body. Everyday objects-called 'every ware' by Adam Greenfield-are now endowed with sensing, controlled by software, and often wirelessly connected and Internet-enabled. Our increasing dependence on ubiquitous computing creates an urgent need for modelling and verification technologies to support the design process, and hence improve the reliability and reduce production costs. At the same time, the challenges posed by ubiquitous computing are unique, deriving from the need to consider coordination of communities of 'every ware' and control physical processes such as drug delivery. Model-based design and verification techniques have pro-ved useful in supporting the design process by detecting and correcting flaws in a number of ubiquitous computing applications, but are limited by poor scalability, efficiency and range of scenarios that can be handled. In this paper we describe the objectives and initial progress of the research aimed at extending the capabilities of quantitative, probabilistic verification to challenging ubiquitous computing scenarios. The focus is on a advancing quantitative verification in new and previously unexplored directions, including game-based techniques, incorporation of continuous dynamics in addition to stochasticity, and online approaches. The research involves investigating the fundamentals of quantitative verification, development of algo- rithms and prototype implementations, and experimenting with case studies.
机译:普适计算是一种计算的愿景,其中计算机从视线中消失,并嵌入到我们的环境,我们使用的设备,衣服甚至身体中。如今,每天由亚当·格林菲尔德(Adam Greenfield)称为“每个商品”的物品都具有感应功能,该功能由软件控制,并且通常通过无线连接并启用Internet。我们对普适计算的日益增长的依赖迫切需要用于支持设计过程的建模和验证技术,从而提高可靠性并降低生产成本。同时,无处不在的计算所带来的挑战是独特的,其源于需要考虑“每件商品”社区的协调和控制药物输送等物理过程的需求。实践证明,基于模型的设计和验证技术可通过检测和纠正许多普适计算应用程序中的缺陷来支持设计过程,但受到可伸缩性,效率和可处理场景范围的限制。在本文中,我们描述了旨在将定量,概率验证的功能扩展到具有挑战性的普适计算场景的研究的目标和初步进展。重点是在新的和以前未开发的方向上进行定量验证,包括基于游戏的技术,除随机性外还包括连续动态和在线方法。该研究包括调查定量验证的基础知识,算法开发和原型实现,以及案例研究。

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