IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4612-2856-1_34.html
   My bibliography  Save this book chapter

Evaluating the Quality of Software Quality Indicators

In: Computing Science and Statistics

Author

Listed:
  • Stuart H. Zweben

    (Ohio State University, Department of Computer and Information Science)

Abstract

There has been no shortage of proposed indicators of software quality, but there has not been a good deal of confidence engendered by these indicators. Presumably this is because the proposed indicators fail to satisfy certain properties that are expected of them. But what are these properties? Recently, there have been several attempts to identify properties that good quality indicators should have. Some of these attempts are directed at specific areas of software quality, such as complexity or test data adequacy, while others are of a general nature. For certain properties, a subjective determination must be made in order to conclude if the property is met, while other properties can be objectively assessed. We examine some of these “meta-quality-indicators,” as they might be called. We also evaluate several well-known quality indicators, including popular (non-computational) complexity metrics and test data adequacy criteria, using these meta-quality-indicators.

Suggested Citation

  • Stuart H. Zweben, 1992. "Evaluating the Quality of Software Quality Indicators," Springer Books, in: Connie Page & Raoul LePage (ed.), Computing Science and Statistics, pages 266-275, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4612-2856-1_34
    DOI: 10.1007/978-1-4612-2856-1_34
    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
    for a similarly titled item that would be available.

    More about this item

    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:sprchp:978-1-4612-2856-1_34. 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.