Analysis of Feature Selection Methods in Software Defect Prediction Models-Reference-Cited by-同舟云学术

Analysis of Feature Selection Methods in Software Defect Prediction Models

Published:2023 Issue: Volume:11 Page:145954-145974
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ali Misbah¹^ORCID,Mazhar Tehseen¹,Shahzad Tariq²^ORCID,Ghadi Yazeed Yasin³^ORCID,Mohsin Syed Muhammad⁴^ORCID,Akber Syed Muhammad Abrar⁵^ORCID,Ali Mohammed⁶^ORCID

Affiliation:

1. Department of Computer Science, Virtual University of Pakistan, Lahore, Pakistan

2. Department of Computer Sciences, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan

3. Department of Computer Science and Software Engineering, Al Ain University, Abu Dhabi, United Arab Emirates

4. Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan

5. Department of Computer Graphics, Vision and Digital Systems, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland

6. Department of Computer Science, Applied College, King Khalid University, Abha, Saudi Arabia

Funder

Deanship of Scientific Research (DSR), King Khalid University, Abha, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10359521.pdf?arnumber=10359521

Reference82 articles.

1. An attribute selection process for software defect prediction

2. FECAR: A Feature Selection Framework for Software Defect Prediction