IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: AN EFFICIENT AND AUTOMATIC BUG TRIAGE FOR MINING SOFTWARE REPOSITTORIES
Authors Name: Salma Shaik , M.Sreeram Murty , J.V. Krishna
Unique Id: IJSDR1610018
Published In: Volume 1 Issue 10, October-2016
Abstract: Bugs are very essential aspects in a software company. The process of fixing bugs is called as a bug triage. Bug triage is an unavoidable step in a software company. In bug triage a correct developer is given to a new bug for fixing it. To manually perform the bug triage is very costly and even time consuming. So text classification techniques are used which uses automatic bug triage. There is a problem of large data i.e the data should be reduced and the quality of the data should be increased. To perform this instance selection and feature selection are used simultaneously. For this we should know the order for applying instance selection and feature selection, and to know the order we extract the attributes from the bug data sets. For the experiments we are using two open source projects such as eclipse and Mozilla. And our result shows that the data is reduced with high quality bug data sets.
Keywords: Mining Bug repositories, bug data reduction, attribute extraction, instance and feature selection.
Cite Article: "AN EFFICIENT AND AUTOMATIC BUG TRIAGE FOR MINING SOFTWARE REPOSITTORIES", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 10, page no.110 - 114, October-2016, Available :http://www.ijsdr.org/papers/IJSDR1610018.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR1610018
Registration ID:160875
Published In: Volume 1 Issue 10, October-2016
DOI (Digital Object Identifier):
Page No: 110 - 114
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview







Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
ISSN
DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media
IJSDR

Indexing Partner