BibTeX:

@article{IJIRSTV4I1080,
     title={Effective Bug Triage using Software Data Reduction Techniques},
     author={Rinku Ambadas Chaudhari and Sarika V Bodake},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={4},
     number={1},
     pages={214--220},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV4I1080.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Bug triage is a very much important 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 too much 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 to get accurate result. System produces bug report and assigns that bug to appropriate developer according to his domain.

Bug Triage, Data Reduction, Instance Selection, Feature Selection, Data Mining