Purpose–The purpose of this paper is to investigate how to incorporate the exponentiated
Weibull (EW) testing‐effort function (TEF) into inflection S‐shaped software reliability growth …

Background: Software Reliability Growth Models (SRGMs) are the most widely used
mathematical models to monitor, predict and assess the software reliability. They play an …

For software developers as well as software product users, fault removal efficiency is crucial.
Developers can estimate the amount of work required by evaluating the proportion of …

A review is given of the exponentiated Weibull distribution, the first generalization of the two-
parameter Weibull distribution to accommodate nonmonotone hazard rates. The properties …

In this article, we demonstrate how to enhance the Weibull–Weibull (WW) distribution
introduced in the earlier literature into a better form for fitting monotone and non‐monotone …

Gokhale and Trivedi (1998) have proposed the Log-logistic software reliability growth model
that can capture the increasing/decreasing nature of the failure occurrence rate per fault. In …

Context In this study, a software optimal release time with cost-reliability criteria has been
discussed in an imperfect debugging environment. Objective The motive of this study is to …

Testing-effort (TE) and imperfect debugging (ID) in the reliability modeling process may
further improve the fitting and prediction results of software reliability growth models …

A testing-effort function is an important factor for software reliability enhancement. It
describes the distribution of an effort and its effectiveness throughout the exposure. Some …

Purpose–The purpose of this research paper is to discuss a software reliability growth model
(SRGM) based on the non‐homogeneous Poisson process which incorporates the Burr type …