Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Search-Based Duplicate Defect Detection

Author : Ajit Padwal 1 Ashish Kane 2 Prof . Harish Barapatre 3

Date of Publication :7th April 2015

Abstract: Redundancy is major concern in any computational or development system, Specifically redundant defect is a key challenge in any database oriented system. If any system contains redundancy then its processing overhead is automatically increases which will affect overall efficiency & performance of a system. Removal of such redundancy using manual approach is time consuming & not up to the mark. Therefore there is necessity of some automatic & efficient tool for searching the this kind of redundant defect ,which in turn saves time of developer to reprocess the same defects or Defect repeatedly. This idea made us to develop search based duplicate defect or Defect detection system.

Reference :

    1. Yongsoo Yuk, Woosung Jung, Comparison of Extraction Methods for Duplicate Defect Detection System Analysis, IEEE, 2013
    2. Search Based Duplicate Defect Detection An Industrial Experience MehdiAmoui, NilamKaushik, Abraham IEEE, 2013
    3. Zatul Amilah Shaffiei, Mudiana Mokhsin and Saidatul Rahah Hamidi, Change and Duplicate Defect Detection System: Anjung Penchala Sdn. Bhd., International Journal of Computer Applications (0975 – 8887), Volume 10– No.3, November 2010http://en.wikipedia.org/wiki/Mantis_ Defect_Tracke
    4. Thomas Zimmermann, Rahul Premraj, Jonathan Sillito and Silvia Breu, Improving Duplicate Defect Detection Systems, IEEE 2009.

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