Many software reliability growth models (SRGMs) have been developed to estimate some useful measures such as the mean value function, number of remaining faults, and failure detection rate. Most of these models have focused on the failure detection process and not given equal priority to modeling the fault correction process. But, most latent software errors may remain uncorrected for a long ti...

This paper presents a generalized surveillance model for predicting the performance of complex systems consisting of many subsystems (units). These subsystems are frequently inspected to keep the entire system operating satisfactorily. Systems of this type are encountered in many areas, including nuclear power plant, national defense system, transportation stations, medical monitoring control r...

Most of predictive maintenance technologies are inaccessible to small scale and medium scale industries due to their demanding cost. This paper proposes a predictive maintenance policy using failure mode effect and criticality analysis (FMECA) and non-homogeneous Poisson process (NHPP) models which require minimal use of advanced monitoring technologies and sophisticated data acquisition system...

Data of the form of event times arise in various applications. A simple model for such data is a non-homogeneous Poisson process (NHPP) which is specified by a rate function that depends on time. We consider the problem of having access to multiple independent samples of event time data, observed on a common interval, from which we wish to classify or cluster the samples according to their rate...

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...

Accurate prediction of release times, reliability and availability of a software product requires the formulation of a reliability model which captures in a quantitative manner critical elements of the software testing process such as: (i) test coverage and (ii) the eeect of operational prooles. This paper presents a Non-Homogeneous Poisson Process(NHPP) based model which accounts explicitly fo...

A repairable system can brieey be characterized as a system which is repaired rather than replaced after a failure. The most commonly used models for the failure process of a repairable system are nonhomogeneous Poisson processes (NHPP), corresponding to minimal repairs, and renewal processes (RP), corresponding to perfect repairs. The paper reviews models for more general repair actions, often...

Within the class of non-homogeneous Poisson process (NHPP) models and as a result of the simplicity of the mathematical computations of the Power Law Process (PLP) model and the attractive physical explanation of its parameters, this model has found considerable attention in repairable systems literature. In this article, we conduct the investigation of new estimation approach, the regression e...

This paper investigates a SRGM (Software reliability growth model) based on NHPP (non-homogeneous Poisson process) which incorporates the 4p-Kappa testing effort function. Testing Software reliability is generally a key factor in software quality. Reliability is an essential ingredient in customer satisfaction. In software development process reliability conveys the information to managers to a...

This paper proposes two new classes of imperfect repair models. The failure process without repair is supposed to be a Non Homogeneous Poisson Process (NHPP). The repair e ect is characterized by the change induced on the failure intensity before and after failure. In the rst class of models, repair e ect is expressed by a reduction of failure intensity. In the second class, repair e ect is exp...