IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i9p1572-d809957.html
   My bibliography  Save this article

Prototype of 3D Reliability Assessment Tool Based on Deep Learning for Edge OSS Computing

Author

Listed:
  • Yoshinobu Tamura

    (Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Yamaguchi 755-8611, Japan
    These authors contributed equally to this work.)

  • Shigeru Yamada

    (Graduate School of Engineering, Tottori University, Tottori 680-8552, Japan
    These authors contributed equally to this work.)

Abstract

We focus on an estimation method based on deep learning in terms of fault correction time for the operation reliability assessment of open-source software (OSS) under the environment of an edge computing service. Then, we discuss fault severity levels in order to consider the difficulty of fault correction. We use a deep feedforward neural network in order to estimate fault correction times. In particular, we consider the characteristics of fault trends by using three-dimensional graphs. Therefore, we can increase the recognizability of the proposed method based on deep learning for large-scale fault data from the standpoint of fault severity levels under edge OSS operation.

Suggested Citation

  • Yoshinobu Tamura & Shigeru Yamada, 2022. "Prototype of 3D Reliability Assessment Tool Based on Deep Learning for Edge OSS Computing," Mathematics, MDPI, vol. 10(9), pages 1-20, May.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:9:p:1572-:d:809957
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/9/1572/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/9/1572/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ji, Chenyi & Su, Xing & Qin, Zhongfu & Nawaz, Ahsan, 2022. "Probability Analysis of Construction Risk based on Noisy-or Gate Bayesian Networks," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    2. Shigeru Yamada & Yoshinobu Tamura, 2016. "OSS Reliability Measurement and Assessment," Springer Series in Reliability Engineering, Springer, edition 1, number 978-3-319-31818-9, March.
    3. P.K. Kapur & Hoang Pham & A. Gupta & P.C. Jha, 2011. "Software Reliability Assessment with OR Applications," Springer Series in Reliability Engineering, Springer, number 978-0-85729-204-9, March.
    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. Yoshinobu Tamura & Shigeru Yamada, 2022. "Maintenance effort management based on double jump diffusion model for OSS project," Annals of Operations Research, Springer, vol. 312(1), pages 411-426, May.
    2. 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.
    3. Yoshinobu Tamura & Ryota Ueki & Adarsh Anand & Shigeru Yamada, 2024. "Estimation and comparison of mean time between failures based on deep learning for OSS fault big data," 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. 15(8), pages 3596-3611, August.
    4. Subhashis Chatterjee & Ankur Shukla & Hoang Pham, 2019. "Modeling and analysis of software fault detectability and removability with time variant fault exposure ratio, fault removal efficiency, and change point," Journal of Risk and Reliability, , vol. 233(2), pages 246-256, April.
    5. Yoshinobu Tamura & Shoichiro Miyamoto & Lei Zhou & Adarsh Anand & P. K. Kapur & Shigeru Yamada, 2024. "OSS reliability assessment method based on deep learning and independent Wiener data preprocessing," 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. 15(6), pages 2668-2676, June.
    6. Shakshi Singhal & P. K. Kapur & Vivek Kumar & Saurabh Panwar, 2024. "Stochastic debugging based reliability growth models for Open Source Software project," Annals of Operations Research, Springer, vol. 340(1), pages 531-569, September.
    7. Viral Gupta & P. K. Kapur & Deepak Kumar, 2019. "Prioritizing and Optimizing Disaster Recovery Solution using Analytic Network Process and Multi Attribute Utility Theory," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 171-207, January.
    8. Vibha Verma & Sameer Anand & P. K. Kapur & Anu G. Aggarwal, 2022. "Unified framework to assess software reliability and determine optimal release time in presence of fault reduction factor, error generation and fault removal efficiency," 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. 13(5), pages 2429-2441, October.
    9. Yeh, Wei-Chang, 2017. "Evaluation of the one-to-all-target-subsets reliability of a novel deterioration-effect acyclic multi-state information network," Reliability Engineering and System Safety, Elsevier, vol. 166(C), pages 132-137.
    10. Subhashis Chatterjee & Ankur Shukla, 2016. "Change point–based software reliability model under imperfect debugging with revised concept of fault dependency," Journal of Risk and Reliability, , vol. 230(6), pages 579-597, December.
    11. Avinash K. Shrivastava & Armaan Singh Ahluwalia & P. K. Kapur, 0. "On interdisciplinarity between product adoption and vulnerability discovery modeling," 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. 0, pages 1-12.
    12. Misbah Anjum & Vernika Agarwal & P. K. Kapur & Sunil Kumar Khatri, 2020. "Two-phase methodology for prioritization and utility assessment of software vulnerabilities," 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. 11(2), pages 289-300, July.
    13. Qiao, Yidan & Gao, Xinwei & Ma, Lin & Chen, Dengkai, 2024. "Dynamic human error risk assessment of group decision-making in extreme cooperative scenario," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    14. Kamlesh Kumar Raghuvanshi & Arun Agarwal & Khushboo Jain & V. B. Singh, 2022. "A generalized prediction model for improving software reliability using time-series modelling," 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. 13(3), pages 1309-1320, June.
    15. Anshul Tickoo & P. K. Kapur & A. K. Shrivastava & Sunil K. Khatri, 2016. "Testing effort based modeling to determine optimal release and patching time of 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. 7(4), pages 427-434, December.
    16. Avinash K. Shrivastava & Vivek Kumar & P. K. Kapur & Ompal Singh, 0. "Software release and testing stop time decision with change point," 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. 0, pages 1-12.
    17. Shen, Shui-Long & Lin, Song-Shun & Zhou, Annan, 2023. "A cloud model-based approach for risk analysis of excavation system," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    18. Ashish Kumar & Monika Saini & Dinesh Kumar Saini & Nikhilesh Badiwal, 2021. "Cyber physical systems-reliability modelling: critical perspective and its impact," 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. 12(6), pages 1334-1347, December.
    19. Deepika & Adarsh Anand & Ompal Singh & P. K. Kapur, 2021. "Three-dimensional wiener process based entropy prediction modelling 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. 12(1), pages 188-198, February.
    20. Hunte, Joshua L. & Neil, Martin & Fenton, Norman E., 2024. "A hybrid Bayesian network for medical device risk assessment and management," Reliability Engineering and System Safety, Elsevier, vol. 241(C).

    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:gam:jmathe:v:10:y:2022:i:9:p:1572-:d:809957. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.