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The Performance Mining Method: Extracting Performance Knowledge from Software Operation Data

机译:性能挖掘方法:从软件操作数据中提取性能知识

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摘要

Software Performance is a critical aspect for all software products. In terms of Software Operation Knowledge, it concerns knowledge about the software product's performance when it is used by the end-users. In this paper the authors suggest data mining techniques that can be used to analyze software operation data in order to extract knowledge about the performance of a software product when it operates in the field. Focusing on Software-as-a-Service applications, the authors present the Performance Mining Method to guide the process of performance monitoring (in terms of device demands and responsiveness) and analysis (finding the causes of the identified performance anomalies). The method has been evaluated through a prototype which was implemented for an online financial management application in the Netherlands.
机译:软件性能是所有软件产品的关键方面。在软件操作知识方面,它涉及有关软件产品在最终用户使用时的性能的知识。在本文中,作者提出了可用于分析软件操作数据的数据挖掘技术,以提取有关软件产品在现场运行时的性能的知识。作者针对软件即服务应用程序,提出了一种性能挖掘方法,以指导性能监视(就设备需求和响应度而言)和分析(找出已识别的性能异常的原因)的过程。该方法已通过原型进行了评估,该原型已在荷兰针对在线财务管理应用程序实施。

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