I describe a software reliability growth model that yields accurate parameter estimates even with a small amount of input data. The model is based on a proposed discrete analog of a Gompertz equation that has an exact solution. The difference equation tends to a differential equation on which the Gompertz curve model is defined, when the time interval tends to zero. The exact solution also tend...

Open Source Software (OSS) products are widely used although a general consensus on their quality is far to be reached. Providing results on OSS reliability as quality indicator – contributes to shed some light on this issue and allows organizations to make informed decisions in adopting OSS products or in releasing their own OSS. In this paper, we use a classical technique of Software Reliabil...

This paper presents a SRGM (software reliability growth model) with both change-point and environmental function based on NHPP (non-homogeneous Poisson process). Although a few research projects have been devoted to the change-point problems of SRGMs, consideration of the variation of environmental factors in the existing models during testing time is limited. The proposed model is one of a few...

The reliability of software is one of the most important software metrics. In the course of time, systems have become more and more complex and that is why software has become more complex, too. It is an undeniable fact that this will lead to an increasing number of software faults. Models of software reliability are used to track down software faults. The aim is to make sure that an improvemen...

In this paper, we study the software reliability measurement method of reliability testing metrics. Software reliability is very important. But, it is very difficult to test for software reliability measurement. So we describes the software reliability metrics for ISO/IEC 9126, and we introduce GammaLomax software reliability model for multiple error debugging. And we calculate the software rel...

Debugging actions durin.g the test/debug phase of software d e ve1op.m e nt are la ot always performed perfectly. That is, not all th.e software faults detected are perfectly removed without introducing new faults. This phenomenon is called the imperfect debugging. The HyperGeo ni et ric Dist 1-i but i on software relia bilat y growth Model (HGDM) was developed for estimating the number of soft...

Software reliability growth models using NonHomogeneous Poisson Process (NHPP) with mean value function – dependent on fault detection rate is considered. The well known Sequential Probability Ratio Test (SPRT) procedure of statistical science is adopted for the model in order to decide upon the reliability / unreliability of developed software. In the present paper, we have proposed the perfor...

Software now controls banking systems, all forms of telecommunications, process control in nuclear plants and factories, as well as defense systems. Even in households without a PC, many of the gadgets and the automobiles are software controlled. The society has developed an extraordinary dependence on software. There are many well known cases of tragic consequences of software failures. In pop...

Software reliability growth models started to be developed in an era where the waterfall model was king (or queen), but they are less useful in modern approaches to software development. Thus, we have either to invent completely new ways of capturing the information that is hidden in failure data or we have to adapt the usage of the software reliability growth models to current ways of developi...

Reader Aids { Purpose: Widen state of the art Special math needed for explanation: Stochastic processes, Statistical inference Special math needed to use results: Same Results useful to: Software reliability theoreticians Summary & Conclusions { Bayesian inference for a nonhomogeneous Poisson process with an S-shaped mean value function is studied. In particular, we consider the model proposed ...