This paper reviews existing Non-Homogeneous Poisson Process (NHPP) software reliability models and their limitations, and proposes a more powerful non-homogeneous Markov model for the fault detection/removal problem. In addition, this non-homogeneous Markov model allows for the possibility of a nite time to repair a fault and for imperfections in the repair process. The proposed scheme provides...

In this paper, we propose a new non-homogeneous Poisson process (NHPP) based software reliability model (SRM), where the debug rate is given by local polynomial function. The main feature of semi-parametric SRM to control goodness-of-fit changing degree. Numerical examples with 16 actual development project data are devoted comparing our well-known existing NHPP-based SRMs in terms and predicti...

This paper reviews existing Non-Homogeneous Poisson Process (NHPP) software reliability models and their limitations, and proposes a more powerful non-homogeneous Markov model for the fault detection/removal problem. In addition, this non-homogeneous Markov model allows for the possibility of a nite time to repair a fault and for imperfections in the repair process. The proposed scheme provides...

This paper investigates extensions to feed-forward queueing networks of an algorithm to set staffing levels (the number of servers) to stabilize performance in anMt/GI/st +GI multiserver queue with a time-varying arrival rate. The model has a non-homogeneous Poisson process (NHPP), customer abandonment, and non-exponential service and patience distributions. For a single queue, simulation exper...

SOFTWARE RELIABILITY GROWTH MODEL WITH LOGISTIC TESTING-EFFORT FUNCTION CONSIDERING LOG-LOGISTIC TESTING-EFFORT AND IMPERFECT DEBUGGING O. Naga Raju1 and Ch. Satyanaraya2 1Department of Computer Science & Engineering, Acharya Nagarjuna University, A.P., India. 2Department of Computer Science & Engineering, JNT University, Kakinda, India. E-mail: [email protected] In this paper, we investigate...

Previous statistical tests showed that call center arrival data were consistent with a non-homogeneous Poisson process (NHPP) within each day, but exhibit over-dispersion over multiple days. These tests are applied to arrival data from an endocrinology clinic, where arrivals are by appointment. The clinic data are also consistent with an NHPP within each day, but exhibit under-dispersion over m...

We consider data processing for a Nonhomogeneous Poisson process (NHPP) with Log-linear and Power-law intensity functions. Parameter estimation is carried out by the maximum likelihood method. For the case of the known intensity function, testing the hypothesis that the given sample path is a realization of NHPP, can be accomplished using the fact, that under the NHPP model the mean value funct...

The paper presents a sampling-inspection strategy for the evaluation of time-dependent reliability of deteriorating systems, where the deterioration is assumed to initiate at random times and at random locations. After initiation, defects are weakening the system’s resistance. The system becomes unacceptable when at least one defect reaches a critical depth. The defects are assumed to initiate ...

Many software reliability growth models based upon a non-homogeneous Poisson process (NHPP) have been proposed to measure and asses the of system quantitatively. Generally, error detection rate fault content function during testing is considered be dependent on elapsed time testing. In this paper we three (SRGM’s) incorporating notion generation over as an extension delayed S-shaped model (NHPP...