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A comparative study of the software NHPP based on weibull extension distribution and flexible weibull extension distribution

机译:基于Weibull扩展分布和灵活Weibull扩展分布的NHPP软件的比较研究

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摘要

Software testing (debugging) to reduce testing costs is essential for the software reliability. In this study, the comparative problem for the reliability model using the Weibull extension distribution based on the generalized order statistics and the flexible Weibull extension distribution which made out efficiency about the software reliability was proposed. The maximum likelihood estimation and bisection iteration method for the estimating parameters were used. In addition, the model selection based on the mean square error and coefficient of the determination for the efficient model were offered. Analysis of the failure time based on the Weibull extension distribution and the flexible Weibull extension distribution was employed for the proposing reliability model. The Laplace trend test was employed for the assurance property about the failure time. The result of this study was obtained that the proposed Weibull extension distribution model than the flexible Weibull extension model is more efficient in terms of the reliability under a fixed shape parameter condition. Thus, the Weibull extension distribution model can be used as a reliability alternative model. From this study, the software developers must be filled to the grovvth model by a prior knowledge for the software to identify the failure modes which can be benefited.
机译:软件测试(调试)以降低测试成本对于软件可靠性至关重要。本研究提出了基于广义顺序统计和灵活的Weibull扩展分布的Weibull扩展分布的可靠性模型的比较问题,证明了软件可靠性。使用了最大似然估计和二等分迭代方法作为估计参数。此外,还提供了基于均方误差和确定系数的模型选择模型。提出了基于Weibull扩展分布和柔性Weibull扩展分布的失效时间分析模型。拉普拉斯趋势测试用于确定故障时间。获得的研究结果表明,在固定形状参数条件下,所提出的威布尔扩展分布模型比柔性威布尔扩展模型在可靠性方面更有效。因此,威布尔扩展分布模型可以用作可靠性的替代模型。从这项研究中,必须通过软件的先验知识将软件开发人员填充到grovvth模型中,以识别可以受益的故障模式。

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