IDEAS home Printed from https://ideas.repec.org/a/igg/jwsr00/v15y2018i4p45-60.html
   My bibliography  Save this article

Web Service Candidate Identification Using the Firefly Algorithm

Author

Listed:
  • Negar Abbasi

    (Department of Computer Engineering, University of Tehran, Kish International Campus, Kish Island, Iran)

  • Ali Moeini

    (Department of Algorithms and Computation, Faculty of Engineering Science, University of Tehran, Iran)

  • Taghi Javdani Gandomani

    (Department of Computer Engineering, Boroujen Branch, Islamic Azad University, Boroujen, Iran)

Abstract

Identification of web service candidates in legacy software is a crucial process in the reengineering of legacy systems to service oriented architecture. Researchers have proposed various automatic and semi-automatic methods for this purpose, some of which have proved to be quite efficient, but there are still certain gaps which need to be addressed. This article discovers the strengths and weaknesses of previous methods and develops a method with improved service candidate identification performance. In this article, service identification is considered as a search and optimization problem and a firefly algorithm is developed accordingly to give high-quality solutions in reasonably short times. A filtering method is also developed to remove excess modules (false positives) from the algorithm outputs. A case study on a legacy flight reservation system demonstrates the high reliability of the outputs given by the proposed method.

Suggested Citation

  • Negar Abbasi & Ali Moeini & Taghi Javdani Gandomani, 2018. "Web Service Candidate Identification Using the Firefly Algorithm," International Journal of Web Services Research (IJWSR), IGI Global, vol. 15(4), pages 45-60, October.
    • Handle: RePEc:igg:jwsr00:v:15:y:2018:i:4:p:45-60
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJWSR.2018100103
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jwsr00:v:15:y:2018:i:4:p:45-60. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.