Simulation models of real-life systems often assume stationary (homogeneous) Poisson arrivals. Therefore, when nonstationary arrival processes are required it is natural to assume Poisson arrivals with a time-varying arrival rate. For many systems, however, this provides an inaccurate representation of the arrival process which is either more or less variable than Poisson. In this paper we exte...

The purpose of this study is to compare the fitting (goodness-of-fit) and prediction capabilities of three reliability models using the failure data of five popular open source software (OSS) products. The failure data are modeled by Weibull and two other Non Homogenous Poisson Process (NHPP) models (Yamada S-Shaped and Schneidewind). The OSS products considered are Eclipse, Apache HTTP Server ...

In this paper a software reliability growth model (SRGM) based on non-homogenous Poisson process (NHPP) is proposed. The principal idea is to provide a SRGM which incorporates both exponentiated Weibull (EW) testing-effort function and change point. In the earlier research, it is found that the probability of fault detection is not constant. It can be changed at some point of time which is call...

Abstract Since December 2019, an increasing number of new pneumonia cases have emerged in Wuhan, China. The rise the spread diseases caused by Corona Virus Disease (covid-19) which has been established as a pandemic WHO on March 12, 2020, gave to so much anxiety and speculation from various parties. case covid-19 positive patients Daily can be calculated homogeneous Poisson process. A process w...

SUMMARY With advances in medical research, effective treatments are becoming standard of care for many diseases. Consequently, when testing a new treatment, the sample size in a clinical trial is on the rise in order to demonstrate a moderate, yet clinically meaningful, improvement in therapeutic effect (compared to an active control), which often makes it impossible to enroll all patients from...