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OSS Reliability Measurement and Assessment

Bag om OSS Reliability Measurement and Assessment

This book analyses quantitative open source software (OSS)reliability assessment and its applications, focusing on three major topicareas: the Fundamentals of OSS Quality/Reliability Measurement and Assessment;the Practical Applications of OSS Reliability Modelling; and RecentDevelopments in OSS Reliability Modelling.Offering an ideal reference guide for graduate students andresearchers in reliability for open source software (OSS) and modelling, thebook introduces several methods of reliability assessment for OSS includingcomponent-oriented reliability analysis based on analytic hierarchy process(AHP), analytic network process (ANP), and non-homogeneous Poisson process(NHPP) models, the stochastic differential equation models and hazard ratemodels.These measurement and management technologies are essential toproducing and maintaining quality/reliable systems using OSS.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783319811260
  • Indbinding:
  • Paperback
  • Sideantal:
  • 185
  • Udgivet:
  • 25. april 2018
  • Udgave:
  • 12016
  • Størrelse:
  • 155x235x0 mm.
  • Vægt:
  • 3051 g.
  • 8-11 hverdage.
  • 26. november 2024
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This book analyses quantitative open source software (OSS)reliability assessment and its applications, focusing on three major topicareas: the Fundamentals of OSS Quality/Reliability Measurement and Assessment;the Practical Applications of OSS Reliability Modelling; and RecentDevelopments in OSS Reliability Modelling.Offering an ideal reference guide for graduate students andresearchers in reliability for open source software (OSS) and modelling, thebook introduces several methods of reliability assessment for OSS includingcomponent-oriented reliability analysis based on analytic hierarchy process(AHP), analytic network process (ANP), and non-homogeneous Poisson process(NHPP) models, the stochastic differential equation models and hazard ratemodels.These measurement and management technologies are essential toproducing and maintaining quality/reliable systems using OSS.

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