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Fault reparation time estimation based on exponential distribution function and software instability metric

机译:基于指数分布函数和软件不稳定性度量的故障修复时间估计

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Software maintenance phase contains modifying, training and help supporting. In this phase when faults occur, users will notify the problem to software maintenance team. The team has to provide the users the estimated fault reparation time and then fix the problems. Fault reparation time of different kinds of faults may be varied due to fault types and program instability. In this research, an estimation model for fault reparation time is proposed. The exponential probability density function and an instability metric are mainly used to construct the estimation model. The estimation model is exercised with some open source software projects. The experiment result shows the model constructed by applying both theory of exponential distribution and instability metric is significantly better than the model constructed by applying only theory of exponential distribution.
机译:软件维护阶段包括修改,培训和帮助支持。在此阶段,当发生故障时,用户会将问题通知软件维护团队。团队必须为用户提供估计的故障修复时间,然后解决问题。由于故障类型和程序的不稳定性,不同类型故障的故障修复时间可能会有所不同。在这项研究中,提出了故障修复时间的估计模型。指数概率密度函数和不稳定性度量主要用于构建估计模型。估计模型是通过一些开源软件项目来执行的。实验结果表明,采用指数分布和不稳定性度量理论构建的模型明显优于仅采用指数分布理论构建的模型。

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