IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v8y2017i2d10.1007_s13198-016-0556-6.html
   My bibliography  Save this article

Identifying and eliminating less complex instances from software fault data

Author

Listed:
  • Raed Shatnawi

    (Jordan University of Science and Technology
    Al Yamamah University)

Abstract

Software quality is costly to achieve for large systems. Developers and testers need to investigate a large number of software modules to ensure software quality. This investigation is time consuming and formal models such as machine learning techniques are used to predict the fault-proneness of software modules to predict where faults are more probable. However, many modules are small in either implementation or design size and have low priority to investigate their quality. In this research, machine learners are used to classify the most complex parts of software. The less complex software modules are filtered out using two size measures: number of public parameters in a software construct and line of code (LOC) as a surrogate of implementation size. Modules at lowest 10, 20 and 30% of each measure are filtered out of the trained and tested data sets. The remaining modules are used to build four classifiers: Naïve Bayes, logistic regression, nearest neighbors and decision trees. The resulting classifiers were evaluated and compared against the original data. The classifiers based on NPM filtering were more consistent with the data without filtering than the LOC size measure.

Suggested Citation

  • Raed Shatnawi, 2017. "Identifying and eliminating less complex instances from software fault 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. 8(2), pages 974-982, November.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-016-0556-6
    DOI: 10.1007/s13198-016-0556-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-016-0556-6
    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/s13198-016-0556-6?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Raed Shatnawi, 2019. "Exploring trends in the evolution of open-source systems," 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(6), pages 1516-1526, December.

    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:8:y:2017:i:2:d:10.1007_s13198-016-0556-6. 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.