A unified scheme of some Nonhomogenous Poisson process models for software reliability estimation

In this paper, we describe how several existing software reliability growth models based on Nonhomogeneous Poisson processes (NHPPs) can be comprehensively derived by applying the concept of weighted arithmetic, weighted geometric, or weighted harmonic mean. Furthermore, based on these three weighte...

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Veröffentlicht in:IEEE transactions on software engineering 2003-03, Vol.29 (3), p.261-269
Hauptverfasser: Chin-Yu Huang, Lyu, M.R., Sy-Yen Kuo
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Sy-Yen Kuo
description In this paper, we describe how several existing software reliability growth models based on Nonhomogeneous Poisson processes (NHPPs) can be comprehensively derived by applying the concept of weighted arithmetic, weighted geometric, or weighted harmonic mean. Furthermore, based on these three weighted means, we thus propose a more general NHPP model from the quasi arithmetic viewpoint. In addition to the above three means, we formulate a more general transformation that includes a parametric family of power transformations. Under this general framework, we verify the existing NHPP models and derive several new NHPP models. We show that these approaches cover a number of well-known models under different conditions.
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subjects Arithmetic
Earth Observing System
Harmonics
Mathematical models
Power system harmonics
Programming
Reliability engineering
Software engineering
Software measurement
Software quality
Software reliability
Solid modeling
Statistical distributions
Transformations
title A unified scheme of some Nonhomogenous Poisson process models for software reliability estimation
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