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Data Mining Based Measurement Method for Software Trustworthiness

机译:基于数据挖掘的软件可信度度量方法

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摘要

Measurement methods have significant meaning for userȁ9;s trust to software trustworthiness. Data mining is one of technologies through which measurement methods and tools can collect trustworthiness data to calculate software trustworthiness. In this paper, a Measurement Method based on Data Mining (MMDM) is proposed, trying to improve correctness of conclusion made by user toward providerȁ9;s service trustworthiness. This method introduces the formal definitions of trust and trustworthiness, static and dynamic trustworthiness data into measurement principle, then illustrates MMDM in detail with formal Software Trustworthiness Measurement Language (STML), thus to reflect software trustworthiness, assist user to make correct decision.
机译:测量方法对用户ȁ9的信任具有重要意义;信任对软件的信任度。数据挖掘是测量方法和工具可以收集可信度数据以计算软件可信度的技术之一。本文提出了一种基于数据挖掘的度量方法(MMDM),试图提高用户对提供商ȁ9的服务可信度结论的正确性。该方法将信任度和信任度的形式化定义,静态和动态的信任度数据引入度量原则,然后用正式的软件信任度度量语言(STML)详细说明MMDM,从而反映软件的信任度,帮助用户做出正确的决策。

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