Change point–based software reliability model under imperfect debugging with revised concept of fault dependency

Abstract

A detailed study about the characteristics of different types of faults is necessary to enhance the accuracy of software reliability estimation. Over the last three decades, some software reliability growth models have been proposed considering the possibility of existence of two types of faults in a software: (1) independent and (2) dependent faults. In these software reliability growth models, it is considered that the removal of a leading fault or independent fault causes detection of corresponding dependent faults. In practical, it is noticed that some dependent faults are possible in a software which are removed during the removal of other faults. Moreover, dependent faults may have different characteristics, which cannot be ignored. Considering these facts, a detailed study about the different characteristics of both dependent and independent faults has been performed, and based on this study, dependent faults have been categorized into different categories. Furthermore, a new software reliability growth model has been proposed with revised concept of fault dependency under imperfect debugging by introducing the fault removal proportionality. In addition, the effect of change point on model's parameters due to different environmental factors has been considered. The fault reduction factor is considered as a proportionality function. Experimental results establish the fact that the performance of the proposed model is better with respect to estimated and predicted cumulative number of faults on some real software failure datasets.

Multi‐upgradation software reliability growth model with dependency of faults under change point and imperfect debugging

“…As discussed earlier due to imperfect debugging, new faults can be introduced in the software. 21 Let, β(t) be the fault introduction rate. Then, the fault content function a(t) will satisfy the condition da t…”

“…Faults can be classified in two categories. 20,21 Removal of some faults are easy and does not affect the removal of other existing faults. These faults are called mutually independent faults.…”

Analysis of Delayed S Shaped Software Reliability Growth Model with Time Dependent Fault Content Rate Function

“…Zhang et al (2003) proposed SRGM model to integrate fault removal efficiency, failure rate, and fault introduction rate into software reliability assessment. Chatterjee and Shukla (2016) proposed a change point-based SRGM under imperfect debugging with revised concept of fault dependency. The above discussed models does not always reflect real testing environments.…”

A unified approach of testing coverage‐based software reliability growth modelling with fault detection probability, imperfect debugging, and change point

“…Furthermore, Chang studied the NHPP‐based SRGMs with change point and estimation of parameters. In recent years, different approaches for software reliability modelling with change point have been discussed by many researchers …”