An Improved Data Reduction Technique Based On KNN & NB with Hybrid Selection Method for Effective Software Bugs Triage

Authors(3) :-Kapil Sahu, Dr. Umesh Kumar Lilhore, Prof Nitin Agarwal

In software development process testing process ensures quality management of the product by ensuring bugs free product. Existing methods are based on Na´ve byes, SVM methods, which encounters with several issues such as poor precision, recall, TPR and accuracy results. In this research, we are presenting an improved data reduction technique based on kNN & NB with hybrid selection method for effective software bugs triage. Reasons behind the selection of two methods are, k nearest neighbor technique will help in word counts from bug report data and Na´ve byes method helps to measure the frequency of the word. The proposed method uses bug report classification, bug report retrieval, and bug report triage. In this proposed method we are also using hybrid selection method for reducing the database, feature selection, and Instance selection methods. Existing method Na´ve byes and proposed (kNN + NB with Hybrid selection) are implemented over MATLAB simulator and various performance measuring parameters such as precision, recall, accuracy, detection time and TPR are calculated. An experimental study clearly shows that our proposed method shows outstanding in terms of all the performance measuring parameters as compared to the existing method for bug triage and data reduction.

Authors and Affiliations

Kapil Sahu
M. Tech Scholar, Department of CSE, NIIST Bhopal, Madhya Pradesh, India
Dr. Umesh Kumar Lilhore
Head PG, Department of CSE, NIIST Bhopal, Madhya Pradesh, India
Prof Nitin Agarwal
Assistant Professor, Department of CSE, NIIST Bhopal, Madhya Pradesh, India

Bug triage, Data Mining, Native Byes, kNN, Instance selection, Feature selection

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 633-639
Manuscript Number : CSEIT1835146
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Kapil Sahu, Dr. Umesh Kumar Lilhore, Prof Nitin Agarwal, "An Improved Data Reduction Technique Based On KNN & NB with Hybrid Selection Method for Effective Software Bugs Triage", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.633-639, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1835146

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