IDEAS home Printed from https://ideas.repec.org/h/spr/ssrchp/978-0-85729-204-9_5.html
   My bibliography  Save this book chapter

Change-Point Models

In: Software Reliability Assessment with OR Applications

Author

Listed:
  • P. K. Kapur

    (University of Delhi)

  • H. Pham

    (Rutgers University)

  • A. Gupta

    (University of Delhi)

  • P. C. Jha

    (University of Delhi)

Abstract

Detection of a failure and successful removal of the fault that has caused the failure during software testing are affected by many factors. These factors include testing environment, strategy, testing team constitution and efficiency, test case effectiveness, resources and many more. The software reliability models formulated to track the reliability growth during testing consider a few or a number of these factors. Drawing certain assumptions on the testing process the models are formulated. The model parameters are representative of the various factors about the reliability growth and depict specified factors about the phenomenon under consideration, that is software testing. In the applications of SRGM on real testing environment to estimate the reliability for the period of testing it is assumed that the parameters of the SRGM can remain smooth over the testing period. However it may not be the case. For example, consider the situation that after two days of testing and analyzing the failure data the developer management may decide that an additional highly professional member should join the testing team and they also change the existing testing strategy and use some new automated testing tool.

Suggested Citation

  • P. K. Kapur & H. Pham & A. Gupta & P. C. Jha, 2011. "Change-Point Models," Springer Series in Reliability Engineering, in: Software Reliability Assessment with OR Applications, chapter 0, pages 171-213, Springer.
    • Handle: RePEc:spr:ssrchp:978-0-85729-204-9_5
    DOI: 10.1007/978-0-85729-204-9_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:ssrchp:978-0-85729-204-9_5. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.