IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v16y2025i6d10.1007_s13198-025-02788-3.html
   My bibliography  Save this article

A NHPP-based SRGM considering the number of users for OSS

Author

Listed:
  • Shoichiro Miyamoto

    (Yamaguchi University)

  • Lei Zhou

    (Yamaguchi University)

  • Yoshinobu Tamura

    (Yamaguchi University)

  • Shigeru Yamada

    (Tottori University)

Abstract

Previously, many researchers proposed various software reliability growth model (SRGM) to evaluate software reliability. Also, they applied SRGM to open source software (OSS). On the other hand, almost all OSS continuing to develop. In this case, OSS’s latent faults fluctuates frequently. Moreover, it is difficult to evaluate accurately because this doesn’t consider by SRGM assumptions. It is known that as the number of software users increases, the number of the detected faults tends to increase. Especially, it is seen in like the number of the users changes fluctuates and the software update. In this paper, we analyze the impact of fluctuations in the number of software users on OSS using actual data from a fault tracking system. Moreover, we review the assumptions of non-homogeneous Poisson process (NHPP) based SRGM and propose the corrected time for model considering the number of number of users. Furthermore, we applied propose model to existing general NHPP-based SRGM’s mean value function. As a result, we confirmed that the number of users increases effect to the number of the detected faults. Furthermore, the propose model can evaluate software reliability accurately. Especially, logarithmic Poisson SRGM shows the highest estimation result.

Suggested Citation

  • Shoichiro Miyamoto & Lei Zhou & Yoshinobu Tamura & Shigeru Yamada, 2025. "A NHPP-based SRGM considering the number of users for OSS," 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. 16(6), pages 2141-2149, June.
    • Handle: RePEc:spr:ijsaem:v:16:y:2025:i:6:d:10.1007_s13198-025-02788-3
    DOI: 10.1007/s13198-025-02788-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-025-02788-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-025-02788-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Fan Li & Ze-Long Yi, 2016. "A New Software Reliability Growth Model: Multigeneration Faults and a Power-Law Testing-Effort Function," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-13, November.
    2. Nidhi Nijhawan & Anu G. Aggarwal & Vikas Dhaka, 2018. "An SRGM for Multi-Release Open Source Software System," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 1-20, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vikas Dhaka & Nidhi Nijhawan, 2024. "Effect of change in environment on reliability growth modeling integrating fault reduction factor and change point: a general approach," Annals of Operations Research, Springer, vol. 340(1), pages 181-215, September.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:16:y:2025:i:6:d:10.1007_s13198-025-02788-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.