IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v13y2022i5d10.1007_s13198-022-01636-y.html
   My bibliography  Save this article

Data flow testing of feature-oriented programs

Author

Listed:
  • Madhusmita Sahu

    (National Institute of Technology)

  • Durga Prasad Mohapatra

    (National Institute of Technology)

Abstract

We propose an approach to perform data flow testing of feature-oriented programs. In our approach, we use a data flow model to represent flow of data across the mixin layers and classes. The model is represented as a control flow graph named composed control flow graph (CCFG). The CCFG depicts flow of control between various program statements. Then, we define different levels of testing to test a feature-oriented program inside a mixin layer and across mixin layers. Then, we compute def-use pairs for each variable in the program and design test cases randomly to exercise each def-use pair.

Suggested Citation

  • Madhusmita Sahu & Durga Prasad Mohapatra, 2022. "Data flow testing of feature-oriented programs," 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(5), pages 2291-2306, October.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:5:d:10.1007_s13198-022-01636-y
    DOI: 10.1007/s13198-022-01636-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-022-01636-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/s13198-022-01636-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.

    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:13:y:2022:i:5:d:10.1007_s13198-022-01636-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.

    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.