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Performance Analysis Based On The Number Of Debuggings For Software System With Processing Time Limit Using Reliability Growth Model

机译:基于可靠性增长模型的具有处理时间限制的软件系统基于调试次数的性能分析

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We propose the performance evaluation method for the multi-task system with software reliability growth process. The software fault-detection phenomenon in the dynamic environment is described by the Markovian software reliability model with imperfect debugging. We assume that the cumulative number of tasks arriving at the system follows the homogeneous Poisson process. Then we can formulate the distribution of the number of tasks whose processes can be complete within a prespecified processing time limit with the infinite-server queueing model. From the model, several quantities for software performance measurement considering the real-time property can be derived and given as the functions of time and the number of debuggings. Finally, we present several numerical examples of the quantities to analyze the relationship between the software reliability characteristics and the system performance measurement.
机译:提出了一种具有软件可靠性增长过程的多任务系统性能评估方法。动态环境中的软件故障检测现象是由具有不完善调试功能的马尔可夫软件可靠性模型描述的。我们假设到达系统的任务的累积数量遵循齐次Poisson过程。然后,我们可以使用无限服务器排队模型来制定任务数量分布的任务,这些任务可以在预定的处理时间内完成。从该模型中,可以导出考虑实时属性的软件性能度量的几个量,并作为时间和调试次数的函数给出。最后,我们给出数量的几个数值示例,以分析软件可靠性特征与系统性能度量之间的关系。

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