Discrete SRGM

P. K. Kapur (), H. Pham (), A. Gupta () and P. C. Jha ()
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P. K. Kapur: University of Delhi
H. Pham: Rutgers University
A. Gupta: University of Delhi
P. C. Jha: University of Delhi

Chapter Chapter 9 in Software Reliability Assessment with OR Applications, 2011, pp 313-346 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-0-85729-204-9_9

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DOI: 10.1007/978-0-85729-204-9_9

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