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A Effective Model Approach for Software bug Triage using Data reduction Techniques

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Bug analysis and eradication is vital process in software enhancement. Numerous small overlooked bugs give rise to untraceable software failures. Bug triage is an vital phase in software correction. In this phase major objective is to assign a programmer to new defect for future analysis. Today major challenge faced by IT firms is huge cost and time on bug analysis manually. Currently to overcome this challenge two methodologies exists with automated bug analysis namely text classification and binary classification. This article presents model survey on Bug triage domain finding issues and techniques that are currently present and their short coming. Proposed bug triage is handled with data reduction which is outcome of feature extraction and example selection algorithm. Survey has been presented on ten articles and problem definition is been define. The research is been implemented for finite dataset and evaluated on efficiency parameters. Graphical analysis present effectiveness of proposed system

Key Words

Data Reduction, Bug Analysis, Bug Removal, Bug Traige, SDLC

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"A Effective Model Approach for Software bug Triage using Data reduction Techniques", International Journal of Emerging Technologies and Innovative Research ( | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp25-28, January-2018, Available at : &

Publication Details

Published Paper ID: JETIR1801006
Registration ID: 171174
Published In: Volume 5 | Issue 1 | Year January-2018
DOI (Digital Object Identifier):
Page No: 25-28
ISSN Number: 2349-5162

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UGC and ISSN Approved Journal | Call For Paper
(Volume 5 | Issue 1 | January 2018 |Impact factor 5.87)

Call For Paper | Volume 5 | Issue 1 | Impact factor 5.87

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  • » Paper Submission Till: 29 January 2018.
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  • » Paper Publish:Within 02-07 Days after submitting the all documents.
  • » Frequency: Monthly (12 issue Annually)
  • » Journal Type : Open Access
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