IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v10y2019i4d10.1007_s13198-019-00811-y.html
   My bibliography  Save this article

Survey of combined hardware–software reliability prediction approaches from architectural and system failure viewpoint

Author

Listed:
  • Sourav Sinha

    (Indian Institute of Technology Kharagpur)

  • Neeraj Kumar Goyal

    (Indian Institute of Technology Kharagpur)

  • Rajib Mall

    (Indian Institute of Technology Kharagpur)

Abstract

Apart from hardware and software-specific failures, failures arising from hardware–software interaction causes notorious system failures. Researches have reported two types of interaction failures in a system: hardware-driven software failure and software-driven hardware failure. An efficient reliability prediction approaches must consider all types of interactions. We critically analyse the existing reliability prediction models for the combined hardware–software system. We also propose a comparison framework to evaluate the existing reliability models for combined hardware–software systems. The results of our study suggest that none of the considered approaches completely satisfy the characteristics of a good reliability prediction model. Existing approaches hardly consider all types of hardware–software interactions. They also fail to consider reliability aspects of distributed systems where a system interacts with external devices. Our proposed comparison framework can be used as a benchmark to construct an efficient reliability prediction model for combined hardware–software systems.

Suggested Citation

  • Sourav Sinha & Neeraj Kumar Goyal & Rajib Mall, 2019. "Survey of combined hardware–software reliability prediction approaches from architectural and system failure viewpoint," 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(4), pages 453-474, August.
  • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:4:d:10.1007_s13198-019-00811-y
    DOI: 10.1007/s13198-019-00811-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-019-00811-y
    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/s13198-019-00811-y?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Hoang Pham, 2006. "Software Reliability Modeling," Springer Series in Reliability Engineering, in: System Software Reliability, chapter 5, pages 153-177, Springer.
    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. Mengmeng Zhu & Hoang Pham, 2019. "A Novel System Reliability Modeling of Hardware, Software, and Interactions of Hardware and Software," Mathematics, MDPI, vol. 7(11), pages 1-14, November.
    2. Luo, Ming & Wu, Shaomin, 2019. "A comprehensive analysis of warranty claims and optimal policies," European Journal of Operational Research, Elsevier, vol. 276(1), pages 144-159.
    3. Nupur Goyal & Vikas Kumar Roy & Mangey Ram, 2022. "Mathematical modelling of embedded systems under network failures," 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(2), pages 604-614, April.
    4. Mengmeng Zhu, 2022. "A new framework of complex system reliability with imperfect maintenance policy," Annals of Operations Research, Springer, vol. 312(1), pages 553-579, May.

    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:10:y:2019:i:4:d:10.1007_s13198-019-00811-y. 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.