FedCSD: A Federated Learning Based Approach for Code-Smell Detection-Reference-Cited by-同舟云学术

FedCSD: A Federated Learning Based Approach for Code-Smell Detection

Published:2024 Issue: Volume:12 Page:44888-44904
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alawadi Sadi¹^ORCID,Alkharabsheh Khalid²^ORCID,Alkhabbas Fahed³^ORCID,Kebande Victor R.¹^ORCID,Awaysheh Feras M.⁴,Palomba Fabio⁵^ORCID,Awad Mohammed⁶^ORCID

Affiliation:

1. Department of Computer Science, Blekinge Institute of Technology, Karlskrona, Sweden

2. Software Engineering Department, Prince Abdullah bin Ghazi Faculty of Information and Communication Technology, Al-Balqa Applied University, As-Salt, Jordan

3. Internet of Things and People Research Center, Malmö University, Malmö, Sweden

4. Institute of Computer Science, Delta Research Centre, University of Tartu, Tartu, Estonia

5. Department of Computer Science, University of Salerno, Fisciano, Italy

6. Department of Computer Systems Engineering, Arab American University, Jenin, Palestine

Funder

Blekinge Tekniska Högskola

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10477413.pdf?arnumber=10477413

Reference74 articles.

1. Refactoring planning for design smell correction object-oriented software;Pérez,2011

2. Software smell detection techniques: A systematic literature review

3. Software Design Smell Detection: a systematic mapping study

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