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Data Mining Based Measurement Method for Software Trustworthiness

机译:基于数据挖掘的软件可靠性测量方法

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Measurement methods have significant meaning for user’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 provider’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:测量方法对于用户对软件可信度的信任具有重要意义。数据挖掘是测量方法和工具可以收集可靠性数据来计算软件可信度的技术之一。在本文中,提出了一种基于数据挖掘(MMDM)的测量方法,试图改善用户对提供商的服务可信度的结论的正确性。该方法介绍了信任和可靠性,静态和动态可靠性数据的正式定义,然后用正式的软件可靠性测量语言(STML)详细说明MMDM,从而反映了软件可靠性,协助用户做出正确的决定。

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