上下文感知应用中有效的故障符号检测算法

M. Sama, F. Raimondi, David S. Rosenblum, W. Emmerich
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引用次数: 5

摘要

在移动设备上运行的上下文感知和自适应应用程序对验证社区提出了新的挑战。当前的验证技术是为不同的领域(主要是硬件)量身定制的,使用传统验证领域的模式很难(或不可能)对运行在移动设备上的典型应用程序的故障进行编码。在本文中,我们介绍了如何将类似于符号模型检查中使用的技术应用于上下文感知和自适应应用程序的验证。更详细地说,我们展示了如何通过有序二进制决策图对上下文感知应用程序的模型进行编码,并介绍了用于验证许多属性的符号算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithms for efficient symbolic detection of faults in context-aware applications
Context-aware and adaptive applications running on mobile devices pose new challenges for the verification community. Current verification techniques are tailored for different domains (mostly hardware) and the kind of faults that are typical of applications running on mobile devices are difficult (or impossible) to encode using the patterns of ldquotraditionalrdquo verification domains. In this paper we present how techniques similar to the ones used in symbolic model checking can be applied to the verification of context-aware and adaptive applications. More in detail, we show how a model of a context-aware application can be encoded by means of ordered binary decision diagrams and we introduce symbolic algorithms for the verification of a number of properties.
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