An Ensemble Model for Software Defect Prediction-Reference-Cited by-同舟云学术

An Ensemble Model for Software Defect Prediction

Published:2022-05-24 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Digital Futures and Transformative Technologies (ICoDT2)
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Author:

Ali Amad Rizwan¹,Ur Rehman Attique²,Nawaz Ali³,Ali Tahir Muhammad⁴,Abbas Muhammad³

Affiliation:

1. UserMaven INC

2. University Of Sialkot,Department of Software Engineering,Sialkot,Pakistan

3. College of Electrical and Mechanical Engineering National University of Science and Technology,Rawapindi,Pakistan

4. GULF University for Science and Technology,Department of Computer Science College of Science and Arts,Kuwait

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9787390/9787393/09787439.pdf?arnumber=9787439

Reference29 articles.

1. Technology, Multi-Objective Regression Test Selection in Practice: An Empirical Study in the Defense Software Industry;garousi,2018

2. Hybrid Approach for Software Defect Prediction Using Machine Learning with Optimization Technique;manjula;International Journal of Computer and Information Engineering,2018

3. Software defect prediction using ensemble learning on selected features

4. Software defect prediction using cost-sensitive neural network

5. Software defect prediction using a cost sensitive decision forest and voting, and a potential solution to the class imbalance problem

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