OSS reliability measurement and asse...
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  • OSS reliability measurement and assessment[electronic resource] /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 005.3
    書名/作者: OSS reliability measurement and assessment/ by Shigeru Yamada, Yoshinobu Tamura.
    作者: Yamada, Shigeru.
    其他作者: Tamura, Yoshinobu.
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: x, 185 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Computer software.
    標題: Open source software.
    標題: Engineering.
    標題: Quality Control, Reliability, Safety and Risk.
    標題: Mathematical Modeling and Industrial Mathematics.
    標題: Industrial Organization.
    標題: Software Engineering.
    標題: Software Management.
    ISBN: 9783319318189
    ISBN: 9783319318172
    內容註: Software Reliability -- NHPP Model and AHP for OSS Reliability Analysis -- NHPP Model and ANP for OSS Reliability Analysis -- Stochastic Differential Equation Models for OSS Reliability Analysis -- Hazard Rates for Embedded OSS Reliability Analysis -- Reliability Analysis for Open Source Solution.
    摘要、提要註: 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.
    電子資源: http://dx.doi.org/10.1007/978-3-319-31818-9
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