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Methods and systems for automated tagging based on software execution traces

机译:基于软件执行迹线的自动标记方法和系统

摘要

Systems and methods for analysis of execution patterns for applications executing on remote devices. In some implementations of the system, a knowledge base stores successful traces from a plurality of instances of an application and one or more computing processors in the system receive, via a network interface, call-stack information from an instance of the application executing on a remote device, call-stack information including periodic captures of an execution status for the instance of the application, and determine whether there is a similarity between the call-stack information received from the instance of the application and the stored plurality of successful traces. Responsive to determining a similarity, the computing processors add the remote device to a population of devices likely to execute the object and facilitate further actions specific to the device population.
机译:用于分析在远程设备上执行应用程序的执行模式的系统和方法。 在系统的一些实施方式中,知识库存储来自应用程序的多个实例的成功迹线,并且系统中的一个或多个计算处理器通过网络接口从应用程序的应用程序接收呼叫堆栈信息 远程设备,呼叫堆栈信息包括用于应用程序实例的执行状态的周期性捕获,并确定从应用程序的实例和存储的多个成功迹线接收的呼叫堆栈信息之间是否存在相似性。 响应于确定相似性,计算处理器将远程设备添加到可能执行对象的设备群体,并促进特定于设备群体的进一步动作。

著录项

  • 公开/公告号GB2546205B

    专利类型

  • 公开/公告日2021-07-21

    原文格式PDF

  • 申请/专利权人 GOOGLE LLC;

    申请/专利号GB20170005847

  • 发明设计人 XINRUO SUN;TIANPENG JIN;

    申请日2014-10-24

  • 分类号G06F11/36;G06N5/02;

  • 国家 GB

  • 入库时间 2022-08-24 20:24:32

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