Abstract:

The non-homogeneous Poisson processes (NHPPs) based software reliability models (SRMs) have gained much popularity in actual software testing phases to assess the software reliability, the number of remaining software faults and the software release scheduling. It is well known that the Weibull distribution plays an important role in reliability applications because of its flexibility in being able to represent various patterns of failure rate functions. In this paper, we introduce some recent generations of Weibull distribution to represent the underlying software fault-detection time distribution of the NHPP-based SRMs. We study the effectiveness of Weibull-type distributions in software reliability modeling through goodness-of-fit test and prediction analysis.