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Discrete SRGM

  • P. K. Kapur
  • H. Pham
  • A. Gupta
  • P. C. Jha
Chapter
Part of the Springer Series in Reliability Engineering book series (RELIABILITY)

Abstract

We familiarized the readers that non-homogeneous Poisson process (NHPP) based software reliability growth models (SRGM) are generally classified into two groups. The first group of models uses the execution time (i.e. CPU time) or calendar time to describe the software failure and fault removal phenomena. Such models are called continuous time models.

Keywords

Change Point Software Reliability Probability Generate Function Simple Fault Discrete Time Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

©  Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Department of Operational ResearchUniversity of DelhiDelhiIndia
  2. 2.Department of Industrial and Systems EngineeringRutgers UniversityPiscatawayUSA

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