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Paper Title: Assign bug Automatically to the Developer Using Data Reduction Techniques
Authors Name: Ashwini Rajendra khandagale , Kokane Pragati Sitaram , Bhujbal Pranali Goraksha , Wavhal D. N.
Unique Id: IJRTI1805055
Published In: Volume 3 Issue 5, May-2018
Abstract: — Software companies spend over 50 percent of cost in dealing with software error. An inevitable step of fixing bugs is bug triage, which goal to correctly assigning a developer to a new bug. To reduce the time cost in manual work, text classification techniques are applied to conduct automatic bug triage. To address the problem of data reduction for bug triage, i.e., how to decrease the scale and improve the quality of bug information.To simultaneously decrease data scale on the bug dimension and the word dimension by combining insatance selection with feature selection. To determine the order of applying instance selection and feature selection, An extract attributes from historical bug data sets and build a predictive model for a new bug data set. This data reduction technique will effectively decrease the data and improve the accuracy of bug triage.
Keywords: Bug, Bug-triage, Source code, machine learning algorithm, Instance selection, Feature selection, Failure, Software Repositories.
Cite Article: "Assign bug Automatically to the Developer Using Data Reduction Techniques", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 5, page no.314 - 321, May-2018, Available :http://www.ijrti.org/papers/IJRTI1805055.pdf
Downloads: 00030
Publication Details: Published Paper ID: IJRTI1805055
Registration ID:180179
Published In: Volume 3 Issue 5, May-2018
DOI (Digital Object Identifier):
ISSN Number: 2456 - 3315
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