Software Reliability is defined as the probability of free-failure operation for a specified period of time in a specified environment. Software Reliability Growth models (SRGM) have been developed to estimate software reliability measures such as number of remaining faults, software failure rate and Software Reliability. Imperfect debugging models are considered in these models. However, most ...

 The object of the present study is to propose the power law process also known as non homogenous poison process which is identical to the weibull process in analyzing and modeling different types of cancer, especially breast cancer.  The key objective is to study the change of the tumor growth as a function of age. The intensity function within the power law process will give us the rate of ...

In the literature, infinite-failure software reliability models (SRMs), such as Musa-Okumoto SRM (1984), have been demonstrated to be effective in quantitatively characterizing testing processes and assessing reliability. This paper primarily focuses on (type-II) non-homogeneous Poisson process (NHPP)-based SRMs evaluates performances of these comprehensively by comparing with existing finite-f...

Tuberculosis, or TB, is a serious global health problem that the leading cause of death from single infectious disease. There are various approaches used by research workers for modelling TB prevalence and Bayesian technique one them. For this study, number notified cases tuberculosis in India 1999 to 2019 were analyzed, using data annual reports published Ministry Health Family Welfare. To mod...

This paper introduces a simple index that helps to assess the degree of aging or rejuvenation of repairable systems. The index ranges from -1 to 1. It is negative for the point processes with decreasing ROCOF and is positive for the point processes with increasing ROCOF. Index Terms aging, rejuvenation, homogeneity, non-homogeneity. ACRONYMS CDF cumulative distribution function CIF cumulative i...

The exponential growth of reliable IP networks provides a suitable and cost-efficient replacement for the legacy TDM based voice networks. In this paper we propose a new framework for modeling Voice over IP (VoIP) traffic based on a nonhomogeneous Poisson process (NHPP). We show that the NHPP can provide an exact fit for the call arrival data, and can also be approximated to a normal model unde...

The determination of the software release time for a new software product is the most critical issue for designing and controlling software development processes. This paper presents an innovative technique to predict the optimal software release time using a neural network. In our approach, a three-layer perceptron neural network with multiple outputs is used, where the underlying software fau...

Software is an integral part of many products, ranging from durable goods such as household appliances to large and complex commercial and industrial systems. With the increasing dependency on software in our daily lives, the size and complexity of software systems has grown dramatically. This trend is of great interest to the software industry, calling for more practical analysis and predictio...

Recurrence data are collected to study the recurrent events on biological, physical, and other systems. Quantities of interest include the mean cumulative number of events and the mean cumulative cost of events. The mean cumulative function (MCF) can be estimated with nonparametric methods or by fitting parametric models, and many procedures have been suggested to construct the confidence inter...

This paper presents a new framework for Voice over IP (VoIP) traffic modeling based on a nonhomogeneous Poisson process. The telecom industry is heading towards replacing the legacy TDM networks with an IP core network. The purpose of traffic engineering is to minimize call blocking probability and maximize resource utilization. A challenge of migrating to an IP core network is to develop an en...