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User-Behavior Based Software Fault Detection for Device

机译:基于用户行为的设备软件故障检测

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The paper focuses on the Pre-Detection for device fault to ensure the reliability of the devices. A User-Behavior based software fault detection method was proposed,which imports User-Behavior analysis to select the high priority service set for Pre-Detection of the device software fault. The method is user oriented and could improve the efficiency of detection. The architecture and flow for the User-Behavior based software fault detection were introduced. In addition,the User-Behavior Analysis model and the User-Behavior Set-Selection model to reflect the dependence degree of the user to each service were given. At last,the method was validated by simulation and proved to be valid by comparing with other Pre-Detection methods.
机译:本文主要针对设备故障的预防措施,以确保设备的可靠性。提出了一种基于用户行为的软件故障检测方法,该方法引入了用户行为分析方法,为设备软件故障的预检测选择了高优先级的服务集。该方法是面向用户的,可以提高检测效率。介绍了基于用户行为的软件故障检测的体系结构和流程。另外,给出了反映用户对每种服务依赖程度的用户行为分析模型和用户行为集选择模型。最后,通过仿真验证了该方法的有效性,并与其他预处理方法进行了比较验证。

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