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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 topic areas: the Fundamentals of OSS Quality/Reliability Measurement and Assessment; the Practical Applications of OSS Reliability Modelling; and Recent Developments in OSS Reliability Modelling. Offering an ideal reference guide for graduate students and researchers in reliability for open source software (OSS) and modelling, the book introduces several methods of reliability assessment for OSS including component-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 rate models. These measurement and management technologies are essential to producing and maintaining quality/reliable systems using OSS.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783319318172
  • Indbinding:
  • Hardback
  • Sideantal:
  • 185
  • Udgivet:
  • 23. marts 2016
  • Udgave:
  • 12016
  • Størrelse:
  • 235x155x13 mm.
  • Vægt:
  • 4203 g.
  • 8-11 hverdage.
  • 14. december 2024
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Forlænget returret til d. 31. januar 2025

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Beskrivelse af OSS Reliability Measurement and Assessment

This book analyses quantitative open source software (OSS)
reliability assessment and its applications, focusing on three major topic
areas: the Fundamentals of OSS Quality/Reliability Measurement and Assessment;
the Practical Applications of OSS Reliability Modelling; and Recent
Developments in OSS Reliability Modelling.
Offering an ideal reference guide for graduate students and
researchers in reliability for open source software (OSS) and modelling, the
book introduces several methods of reliability assessment for OSS including
component-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 rate
models.
These measurement and management technologies are essential to
producing and maintaining quality/reliable systems using OSS.

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