IDEAS home Printed from https://ideas.repec.org/a/tec/techni/v4y2022i1p77-82.html
   My bibliography  Save this article

Token-based code clone detector for Dart language

Author

Listed:
  • Yasir Mohammed Khazaal

Abstract

Reusing the code in multiple locations is called in software engineering Code Clone. Detection of a clone is important to reduce the maintenance time and size of code. There are four techniques to detect the code clone: text-based, token-based, AST(Abstract Syntax Tree) based, and PDG(Program Dependence Graph) based.In this paper, we propose and implement the token-based method for code clone detection in the Dart language. The proposed method is evaluated by injecting clones to Dart programs. Results show that the proposed method detects all the injected codes.

Suggested Citation

  • Yasir Mohammed Khazaal, 2022. "Token-based code clone detector for Dart language," Technium, Technium Science, vol. 4(1), pages 77-82.
  • Handle: RePEc:tec:techni:v:4:y:2022:i:1:p:77-82
    DOI: 10.47577/technium.v4i5.6732
    as

    Download full text from publisher

    File URL: https://techniumscience.com/index.php/technium/article/view/6732/2356
    Download Restriction: no

    File URL: https://techniumscience.com/index.php/technium/article/view/6732
    Download Restriction: no

    File URL: https://libkey.io/10.47577/technium.v4i5.6732?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
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:tec:techni:v:4:y:2022:i:1:p:77-82. 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: Ana Maria Golita (email available below). General contact details of provider: .

    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.