OSS Reliability Measurement and Assessment

1. Auflage 2016
ISBN: 978-3-319-31817-2
Verlag: Springer International Publishing

Buch, Englisch, 185 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 4203 g

Reihe: Springer Series in Reliability Engineering

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.

Zielgruppe

Research

Autoren/Hrsg.

Tamura, Yoshinobu

Yamada, Shigeru

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Zuverlässigkeitstechnik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

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.

Über Autor(innen)

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.