IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i6idhcseit11726309.html

Research Issues and Software Testing Methodologies and Mechanisms for Better Performance using Cloud Testing

Author

Listed:
  • K. Venkat Raman
  • G. Ranjith

Abstract

Cloud Computing is an on-demand internet based virtualized system which is one of the most fast-growing information technology based mechanism that is adopted by software industry all over the world. Software Testing is the process of checkingfunctionality or activity that performed on cloud computing, it introduces features or capabilities of verification of software and reconstructed software for bug fix, Some-times new changes may impact on the existing functionality, this is also managed or identified by the testing methodologies. The main purpose is to give quality assurance about existing or recently introduced functionality or activity, so that it does not affect the existing functionality. The main objective of designing a new approach in software testing is to improve the quality of software after testing and after modifications that are done in the software, it also focuses on the side effects that are designed or progressed after modifications. We also discussed different testing methodologies that can be implemented on cloud computing for better performance along with the optimal Approximation Algorithm. The test bed simulation is done for experimental analysis, final results are given along with the graphical analysis. we also discussed on the future work and research issues that can be adopted for better performance of cloud computing and all the possibilities of mechanisms and methods that can be adopted or implemented using the software testing for bug fix.

Suggested Citation

  • K. Venkat Raman & G. Ranjith, 2017. "Research Issues and Software Testing Methodologies and Mechanisms for Better Performance using Cloud 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. 2(6), pages 1163-1167, December.
  • Handle: RePEc:jbh:ijsrcs:v2:y2017:i6:id:hcseit11726309
    Note: Article URL: https://ijsrcseit.com/CSEIT11726309
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT11726309
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT11726309.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:v2:y2017:i6:id:hcseit11726309. 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.