Abstract

Software reliability is widely recognized as one of the most significant aspects of software quality and is often determined by the number of software uncorrected faults in the system. In practice, it is essential for fault correction prediction, because this correction process consumes a heavy amount of time and resources to predict whether reliability goals have been achieved. Therefore, in this paper we discuss a general framework of the modeling of the failure detection and fault correction process. Under this general framework, we not only verify the existing non-homogeneous poisson process (NHPP) models but also derive several new NHPP models. In addition, we show that these approaches cover a number of well-known models under different conditions. Finally, numerical examples are shown to illustrate the results of the integration of the detection and correction processes.

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