Modeling and Analysis of Software Fault Detection and Correction Process Through Weibull-Type Fault Reduction Factor, Change Point and Imperfect Debugging

Abstract

Fault reduction factor (FRF) is one of the most important factors which plays a vital role in software reliability growth. In the past, few studies on the influence of different environmental factors into FRF have been carried out. In these studies, FRF has been defined using some particular functions such as constant, increasing, decreasing and inflection S-shaped. These functions may not be realistic and reasonable to represent the actual behavior of FRF. Therefore, in this study, it has been tried to represent the realistic behavior of FRF using Weibull curve. Moreover, a new approach of software reliability modeling has been proposed in which FRF has been incorporated in fault detection and correction process. Thus, in this paper, a general frame work of software reliability growth model (SRGM) has been proposed considering the fault detection and correction process. The concepts of imperfect debugging and change point have also been incorporated in the present study. Different parameters of the proposed SRGM are estimated using the SPSS and ‘R’ software. Different comparison criteria have been used for comparison of the proposed SRGM with other existing SRGMs. Chi-square goodness-of-fit test has been used for validation of the proposed SRGM.