FLEXIBLE STOCHASTIC DIFFERENTIAL EQUATION MODELING FOR OPEN-SOURCE-SOFTWARE RELIABILITY ASSESSMENT

Yoshinobu Tamura and Shigeru Yamada
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Yoshinobu Tamura: Department of Computer Science, Faculty of Applied Information Science, Hiroshima Institute of Technology, Miyake 2–1–1, Saeki–ku, Hiroshima–shi, 731-5193, Japan
Shigeru Yamada: Department of Social Systems Engineering, Faculty of Engineering, Tottori University, Minami 4–101, Koyama, Tottori–shi, 680–8552, Japan

Chapter 20 in Recent Advances in Stochastic Operations Research II, 2009, pp 285-300 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractAll over the world people can gain information at the same time by growing rate of Internet access around the world in recent years. In accordance with such a penetration of the Internet, it is increasing public awareness of the importance of online real-time and interactive functions. Therefore, software development environment has been changing into new development paradigms such as concurrent distributed development environment and so-called open source project by using network computing technologies. Especially, such OSS (Open Source Software) systems which serve as key components of critical infrastructures in the society are still ever-expanding now. In this paper, we propose a software reliability growth model based on stochastic differential equations in order to consider the active state of open source project. Especially, we assume that the software failure intensity depends on the time, and the software fault-reporting phenomena on the bug tracking system keep an irregular state. Moreover, we assume that the software failure intensity depends on the fault importance levels. Also, we analyze actual software fault-count data to show numerical examples of software reliability assessment. We show that our proposed model can assist improvement of quality for OSS systems.

Keywords: Operations Research; Uncertainty; Applied Probability; Stochastic Process; Optimization; Decision Science (search for similar items in EconPapers)
Date: 2009
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