Development of Software Reliability Assessment Simulator and Its Calibration Method

为了度量大规模软件系统的可靠性程度，许多研究者提出了许多软件可靠性评估模型。在这种情况下，我们已经开发了几个仿真模型来评估软件可靠性的时间序列数据的基础上。特别是，我们提供了一个校准方案的控制参数包括在软件可靠性仿真。控制参数的校准，以便最小化的实际观测数据和模拟器生成的数据之间的平方误差的平均和。我们给出了几个数值例子的校准和软件的可靠性评估所提出的计划。我们确认这些结果符合我们的目标。

In order to measure the degree of reliability of large scale software systems, many software reliability assessment models have been proposed by many researchers so far. In such a situation, we have developed several simulation models to assess software reliability based on the time series data. Especially, we provide a calibration scheme of control parameters included in the software reliability simulator. The control parameters are calibrated so as to minimize the mean sum of squared errors between the actually observed data and the generated ones by the simulator. We showed several numerical examples of the calibration and software reliability assessment by the proposed scheme. We confirmed that these results met our aim.