OSS Reliability Measurement and Assessment

OSS Reliability Measurement and Assessment

by Shigeru Yamada, Yoshinobu Tamura

Hardcover(1st ed. 2016)

$159.99
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Overview

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.

Product Details

ISBN-13: 9783319318172
Publisher: Springer International Publishing
Publication date: 03/23/2016
Series: Springer Series in Reliability Engineering
Edition description: 1st ed. 2016
Pages: 185
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

Dr. Shigeru Yamada received his B.S.E., M.S., and Ph.D. degrees from Hiroshima University, Japan in 1975, 1977, and 1985, respectively. Since
1993, he has been working as a Professor at the Department of Social Management
Engineering, Graduate School of Engineering, Tottori University, Tottori-shi,
Japan.


Dr. Yamada has published over 500 reviewed technical papers in the areas of software reliability engineering, project management, reliability engineering, and quality control. He has authored several books such as
Introduction to Software Management Model (Kyoritsu Shuppan, 1993), Software
Reliability Models: Fundamentals and Applications (JUSE, Tokyo, 1994),
Statistical Quality Control for TQM (Corona Publishing, Tokyo, 1998), Software
Reliability: Model, Tool, Management (The Society of Project Management, 2004),
Quality-Oriented Software Management (Morikita Shuppan, 2007), Elements of
Software Reliability – Modeling Approach (Kyoritsu Shuppan, 2011), Project
Management (Kyoritsu Shuppan, 2012), Software Engineering – Fundamentals and
Applications (Science, Tokyo, 2013), and Software Reliability Modeling:
Fundamentals and Applications (Springer-Verlag, Tokyo/Heidelberg, 2013).


Dr. Yoshinobu Tamura received his B.S.E., M.S., and Ph.D.
degrees from Tottori University in 1998, 2000, and 2003, respectively. From
2003 to 2006, he was a Research Assistant at Tottori University of
Environmental Studies. From 2006 to 2009, he was a Lecturer and Associate
Professor at the Faculty of Applied Information Science, part of Hiroshima
Institute of Technology, Hiroshima, Japan. Since 2009, he has been working as an Associate Professor at the Graduate School of Science and Engineering,
Yamaguchi University, Ube, Japan. His primary research interest is in reliability assessment for open source software. He is a member of the
Institute of Electronics, Information and Communication Engineers of Japan, the
Information Processing Society of Japan, the Operations Research Society of
Japan, the Society of Project Management of Japan, and the IEEE.


Dr. Tamura received the Presentation Award at the Seventh
International Conference on Industrial Management in 2004, the IEEE Reliability
Society Japan Chapter Awards in 2007, the Research Leadership Award in the Area of Reliability from the ICRITO in 2010, and the Best Paper Award at the IEEE
International Conference on Industrial Engineering and Engineering Management in 2012.

Table of Contents

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.

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