An integrated framework of the modeling of failure-detection and fault-correction processes in software reliability analysis

The failure-detection and fault-correction are critical processes in attaining good performance of software quality. In this paper, we propose several improvements on the conventional software reliability growth models (SRGMs) to describe actual software development process by eliminating some unrealistic assumptions. Most of these models have focused on the failure detection process and not given equal priority to modeling the fault correction process. But, most latent software errors may remain uncorrected for a long time even after they are detected, which increases their impact. The remaining software faults are often one of the most unreliable reasons for software quality. Therefore, we develop a general framework of the modeling of the failure detection and fault correction processes. Furthermore, we also analyze the effect of applying the delay-time non-homogeneous Poisson process (NHPP) models. Finally, numerical examples are shown to illustrate the results of the integration of the detection and correction process.