Software Data Reduction Technique for Bug Triage |
Author(s): |
| Miss. Karande Rupali Dasharath , Department of Technology,Shivaji university,kolhapur; Mr. H P. Khandagale, Department of Technology,Shivaji university,kolhapur |
Keywords: |
| Bug Triage, Instance Selection, Feature Selection, Naïve Bayes |
Abstract |
|
Currently, data increases about every day but useful information seems to be decreases. There are many software organizations expend deals with software bugs. The common name that is used in software organization is Bug Triage. Basically bug triage is a software testing term, which means to fix a bug report and assign proper developer to fix them. We used a Feature selection and Instance selection algorithms for data reduction. To perform reduction techniques we used open source projects bug repository likely Eclipse and Mozilla. The paper presents an approach of data reduction using combination of algorithms, namely- instance selection and feature selection. To develop automatic bug triage and Classification of bug reports are performed using Naïve bayes. |
Other Details |
|
Paper ID: IJSRDV5I50255 Published in: Volume : 5, Issue : 5 Publication Date: 01/08/2017 Page(s): 357-359 |
Article Preview |
|
|
|
|
