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  Published Paper Details:

  Paper Title

CLASSIFICATION TECHNIQUES IN AUTOMATIC BUG TRIAGE TO DECREASING THE MANUAL AND TIME COST

  Authors

  Mrs.T.Aruna Jyothi,  Mr.V.Vinay Kumar

  Keywords

Classification Techniques in Automatic Bug Triage to Decreasing the Manual and time Cost

  Abstract


Programming organizations spend more than 45 percent of cost in managing programming bugs. Bug triage is a vital advance during the time spent bug settling. The objective of bug triage is to dole out another coming bug to the right potential engineer. The current bug triage approaches depends on machine learning, which assemble classifiers from the preparation sets of bug reports. According to writing, need to build up a compelling model for doing information diminishment on bug informational collection which will decrease the size of the information and also increment the nature of the information., by lessening the time and cost. Numerous product organizations spend their the greater part of cost in managing these bugs. We are utilizing case determination and highlight choice at the same time with chronicled bug information. To diminish the manual and time cost, content arrangement methods are connected to play out the programmed bug triage.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1704492

  Paper ID - 171349

  Page Number(s) - 3688-3692

  Pubished in - Volume 5 | Issue 4 | December 2017

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mrs.T.Aruna Jyothi,  Mr.V.Vinay Kumar,   "CLASSIFICATION TECHNIQUES IN AUTOMATIC BUG TRIAGE TO DECREASING THE MANUAL AND TIME COST", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 4, pp.3688-3692, December 2017, Available at :http://www.ijcrt.org/papers/IJCRT1704492.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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