A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning-Reference-Cited by-同舟云学术

A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning

Author:

Mehmood Iqra¹,Shahid Sidra¹,Hussain Hameed²^ORCID,Khan Inayat³^ORCID,Ahmad Shafiq⁴^ORCID,Rahman Shahid²^ORCID,Ullah Najeeb³,Huda Shamsul⁵^ORCID

Affiliation:

1. Department of Computer Science, University of Agriculture Faisalabad, Faisalabad, Pakistan

2. Department of Computer Science, University of Buner, Buner, Pakistan

3. Department of Computer Science, University of Engineering and Technology, Mardan, Pakistan

4. Industrial Engineering Department, College of Engineering, King Saud University, Riyadh, Saudi Arabia

5. School of Information Technology, Deakin University, Burwood, VIC, Australia

Funder

King Saud University, Riyadh, Saudi Arabia, through the Researchers Supporting Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference75 articles.

2. Software defect prediction system using multilayer perceptron neural network with data mining;Gayathri;Int. J. Recent Technol. Eng.,2014

4. Software defect prediction models for quality improvement: A literature study;Rawat;Int. J. Comput. Sci. Issues,2012

5. A survey? Data mining techniques in software engineering;Singh;Int. J. Res. IT, Manage. Eng.,2016