IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-1-4419-0176-7_6.html
   My bibliography  Save this book chapter

A Parallel General-Purpose Synthetic Data Generator1

In: Data Engineering

Author

Listed:
  • Joseph E. Hoag

    (University of Arkansas)

  • Craig W. Thompson

    (University of Arkansas)

Abstract

The IT industry needs synthetic data generation tools for a number of applications including (but not limited to): Regression testing. Repeatedly generate the same large data set for testing enterprise applications. Allow the data set to be removed between regression tests.

Suggested Citation

  • Joseph E. Hoag & Craig W. Thompson, 2009. "A Parallel General-Purpose Synthetic Data Generator1," International Series in Operations Research & Management Science, in: Yupo Chan & John Talburt & Terry M. Talley (ed.), Data Engineering, chapter 6, pages 103-117, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-0176-7_6
    DOI: 10.1007/978-1-4419-0176-7_6
    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:isochp:978-1-4419-0176-7_6. 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.