IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v3y2018i3idhcseit1833554.html

Impact of Artificial Intelligence in Software Testing

Author

Listed:
  • A. P. Nirmala
  • Shajahan
  • Somnath K

Abstract

Since computer's software applications rapidly increased in modern life, it is important to have enough reliability and minimizing the probability of faults in software products. Software testing is a process to find faults in software's products, due to increase software reliability. Because testing process is very costly, automation techniques are needed to reduce these costs and also, increase reliability. In automated testing, the testing phases or part of them performed by intelligent methods, in order to reduce human role in the process. Automatic testing has several advantages such as increase testing speed, quality and reliability, decrease testing resources and costs. In this paper, after explaining software testing phases, we classified methods which can use in automated software testing phases based on previous researches with aim to reach above advantages.

Suggested Citation

  • A. P. Nirmala & Shajahan & Somnath K, 2018. "Impact of Artificial Intelligence in Software Testing," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 1519-1526, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit1833554
    Note: Article URL: https://ijsrcseit.com/CSEIT1833554
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT1833554
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/paper/CSEIT1833554.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:jbh:ijsrcs:v3:y2018:i3:id:hcseit1833554. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.