International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 12, December 2016


Software Data Reduction Techniques for Effective Bug Triage

Rinku Ambadas Chaudhari | Sarika V. Bodake


Abstract: Bug triage is a fundamental step during bug fixing. Bug triage is the way toward fixing bug whose primary target is to accurately apportion a designer to another bug additionally taking care of. Many software organizations spend their majority of cost in managing these bugs. To reduce the time cost in manual work and to improve the working of programmed bug triage, two procedures are connected in particular content characterization and double arrangement. In writing different papers address the issue of information diminishment for bug triage, i. e. , how to lessen the scale and enhance the nature of bug information. By joining the example determination and the component choice calculations to at the same time reduce the information scale and upgrade the correctness of the bug reports in the bug triage. . According to writing, need to build up a powerful model for doing information lessening on bug information set which will decrease the size of the information and increment the nature of the information. , by minimizing the time and cost. System produces bug report and assigns that bug to appropriate developer.


Keywords: Bug triage, data reduction, Instance selection, Feature selection, Data Mining


Edition: Volume 5 Issue 12, December 2016,


Pages: 1782 - 1784


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How to Cite this Article?

Rinku Ambadas Chaudhari, Sarika V. Bodake, "Software Data Reduction Techniques for Effective Bug Triage", International Journal of Science and Research (IJSR), Volume 5 Issue 12, December 2016, pp. 1782-1784, https://www.ijsr.net/get_abstract.php?paper_id=ART20163840

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