A unified scheme of some nonhomogenous poisson process models for software reliability estimation

Chin Yu Huang*, Michael R. Lyu, Sy Yen Kuo

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

212 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)261-269
Number of pages9
JournalIEEE Transactions on Software Engineering
Volume29
Issue number3
DOIs
StatePublished - 03 2003
Externally publishedYes

Keywords

  • Mean value function (MVF)
  • Nonhomogeneous Poisson process (NHPP)
  • Power transformation
  • Software reliability growth model (SRGM)
  • Weighted arithmetic mean
  • Weighted geometric mean
  • Weighted harmonic mean

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