Text Classification Techniques to Conduct Automatic Bug Triage

Abstract

We address the issue of information lessening for bug triage, i.e., how to diminish the scale and enhance the nature of bug information. We solidify illustration decision with highlight assurance to in the meantime decrease data scale on the bug estimation and the word estimation. To choose the demand of applying event assurance and highlight decision, we isolate characteristics from recorded bug educational lists and build a judicious model for another bug enlightening gathering. We exactly look at the execution of data reduction on totally 600,000 bug reports of two enormous open source wanders, specifically Eclipse and Mozilla. The results show that our data decline can feasibly lessen the data scale and upgrade the precision of bug triage. Our work gives an approach to manage using frameworks on data taking care of to edge diminished and superb bug data in programming change and support.

Authors and Affiliations

Sunkara Poojitha| Dept. of CSE, Usha Rama College Of Engineering And Technology,Telaprolu, Andhra Pradesh-521109, M. Sambasiva Rao| Dept. of CSE, Usha Rama College Of Engineering And Technology,Telaprolu, Andhra Pradesh-521109

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  • EP ID EP16951
  • DOI -
  • Views 333
  • Downloads 4

How To Cite

Sunkara Poojitha, M. Sambasiva Rao (2017). Text Classification Techniques to Conduct Automatic Bug Triage. International Journal of Science Engineering and Advance Technology, 5(6), 585-589. https://europub.co.uk/articles/-A-16951