LCNN: Lightweight CNN Architecture for Software Defect Feature Identification Using Explainable AI-Reference-Cited by-同舟云学术

LCNN: Lightweight CNN Architecture for Software Defect Feature Identification Using Explainable AI

Published:2024 Issue: Volume:12 Page:55744-55756
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Begum Momotaz¹^ORCID,Hasan Shuvo Mehedi¹^ORCID,Kamal Nasir Mostofa²,Hossain Amran¹^ORCID,Jakir Hossain Mohammad³,Ashraf Imran⁴^ORCID,Uddin Jia⁵^ORCID,Samad Md. Abdus⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Dhaka University of Engineering & Technology (DUET), Gazipur, Bangladesh

2. Department of Computer Science and Engineering, Mawlana Bhashani Science & Technology University, Tangail, Bangladesh

3. Department of Electrical and Electronic Engineering, Dhaka University of Engineering & Technology (DUET), Gazipur, Bangladesh

4. Department of Information and Communication Engineering, Yeungnam University, Gyeongsan-si, South Korea

5. AI and Big Data Department, Endicott College, Woosong University, Daejeon, South Korea

Funder

Woosong University Academic Research 2024

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10499820.pdf?arnumber=10499820

Reference33 articles.

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5. A comparative study on the effect of data imbalance on software defect prediction;Liu;Proc. Comput. Sci.,2022