IJERT-EMS
IJERT-EMS

Bug Localization using LDACG Approach


Bug Localization using LDACG Approach
Authors : Prof. Devendra Kumar, Ms. Ritu Sharma
Publication Date: 11-05-2015

Authors

Author(s):  Prof. Devendra Kumar, Ms. Ritu Sharma

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 4 - Issue. 05 , May - 2015

e-ISSN:   2278-0181

 DOI:  http://dx.doi.org/10.17577/IJERTV4IS050095

Abstract

Bug Localization is the task of locating the area of source code that requires modification to correct that bug. By automating this task, effort of debugger can be considerably reduced. In past, automated bug localization has been done with the help of many IR(Information Retrieval) models that focused on the semantic information. In this paper, we have proposed LDACG approach for bug localization which focuses on both semantic and structural information. In LDACG approach, bugs are located using an IR model i.e. LDA (Latent Dirichlet Allocation) and Call graph. Then the combined score of both methods is calculated to locate bugs in efficient manner. We have compared LDACG based approach with LDA based approach and it has been found that LDACG approach performs better than LDA approach for bug localization. The performance of both approaches has been evaluated on the datasets downloaded from two open source projects i.e. Rhino and ModeShape.

Citations

Number of Citations for this article:  Data not Available

Keywords

Key Word(s):    

Downloads

Number of Downloads:     335
Similar-Paper

Call for Papers - May - 2017

        

 

                 Call for Thesis - 2017 

     Publish your Ph.D/Master's Thesis Online

              Publish Ph.D Master Thesis Online as Book