Improving Cross-Project Software Defect Prediction Method Through Transformation and Feature Selection Approach-Reference-Cited by-同舟云学术

Improving Cross-Project Software Defect Prediction Method Through Transformation and Feature Selection Approach

Published:2023 Issue: Volume:11 Page:2318-2326
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bala Yahaya Zakariyau¹^ORCID,Abdul Samat Pathiah¹^ORCID,Sharif Khaironi Yatim¹^ORCID,Manshor Noridayu²

Affiliation:

1. Department of Software Engineering and Information System, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang, Malaysia

2. Department of Computer System, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang, Malaysia

Funder

Universiti Putra Malaysia

Tedfund Nigeria

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/ielx7/6287639/10005208/09996402.pdf?arnumber=9996402

Reference47 articles.

1. Domain adaptation approach for cross-project software defect prediction;chen;J Softw,2020

3. A survey on cross-project software defect prediction methods;chen;Chin J Comput,2018

4. An Empirical Study on Combining Source Selection and Transfer Learning for Cross-Project Defect Prediction

5. Dimensional Reduction on Cross Project Defect Prediction

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