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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19444
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
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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. |
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IJRTI_180179
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| Published Paper Id: | IJRTI1805055 |
| Published In: | Volume 3 Issue 5, May-2018 |
| DOI: | |
| 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: | 000205232 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI1805055
Registration ID:180179
Published In: Volume 3 Issue 5, May-2018
DOI (Digital Object Identifier):
Page No: 314 - 321 Country: junner, Maharastra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1805055 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1805055 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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