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Flexible Stochastic Differential Equation Modeling For Open-Source-Software Reliability Assessment

In: Recent Advances In Stochastic Operations Research II

Author

Listed:
  • 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)

Abstract

All 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.

Suggested Citation

  • Yoshinobu Tamura & Shigeru Yamada, 2009. "Flexible Stochastic Differential Equation Modeling For Open-Source-Software Reliability Assessment," World Scientific Book Chapters, in: Tadashi Dohi & Shunji Osaki & Katsushige Sawaki (ed.), Recent Advances In Stochastic Operations Research II, chapter 20, pages 285-300, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789812791672_0020
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    Cited by:

    1. Ranjan Kumar & Subhash Kumar & Sanjay K. Tiwari, 2019. "A study of software reliability on big data open source software," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(2), pages 242-250, April.
    2. Ritu Bibyan & Sameer Anand & Anu G. Aggarwal & Abhishek Tandon, 2023. "Multi-release testing coverage-based SRGM considering error generation and change-point incorporating the random effect," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(5), pages 1877-1887, October.

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