Developing a hybrid software reliability growth model

Abstract

Purpose

The purpose of this paper is to develop a new software reliability growth model considering different fault distribution function before and after the change point.

Design/methodology/approach

In this paper, the authors have developed a framework to incorporate change-point in developing a hybrid software reliability growth model by considering different distribution functions before and after the change point.

Findings

Numerical illustration suggests that the proposed model gives better results in comparison to the existing models.

Originality/value

The existing literature on change point-based software reliability growth model assumes that the fault correction trend before and after the change is governed by the same distribution. This seems impractical as after the change in the testing environment, the trend of fault detection or correction may not follow the same trend; hence, the assumption of same distribution function may fail to predict the potential number of faults. The modelling framework assumes different distributions before and after change point in developing a software reliability growth model.

Citation

Shrivastava, A.K. and Sharma, R. (2022), "Developing a hybrid software reliability growth model", International Journal of Quality & Reliability Management, Vol. 39 No. 5, pp. 1209-1225. https://doi.org/10.1108/IJQRM-02-2021-0039