Meta-Heuristic Guided Feature Optimization for Enhanced Authorship Attribution in Java Source Code-Reference-Cited by-同舟云学术

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Meta-Heuristic Guided Feature Optimization for Enhanced Authorship Attribution in Java Source Code

Published:2023 Issue: Volume:11 Page:141657-141673
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Al-Ahmad Bilal¹^ORCID,Al-Madi Nailah²^ORCID,Alzaqebah Abdullah³^ORCID,Alkhawaldeh Rami S.¹^ORCID,Aldebei Khaled¹^ORCID,Kabir Md. Faisal⁴^ORCID,Altaharwa Ismail¹^ORCID,Abu-Faraj Mua’ad¹^ORCID,Aljarah Ibrahim⁵^ORCID

Affiliation:

1. The University of Jordan, Aqaba, Jordan

2. Princess Sumaya University for Technology, Amman, Jordan

3. Computer Science Department, Faculty of Information Technology, Al-Ahliyya Amman University, Amman, Jordan

4. School of Science, Engineering, and Technology, Pennsylvania State University Harrisburg, Middletown, PA, USA

5. The University of Jordan, Amman, Jordan

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/ielx7/6287639/10005208/10352131.pdf?arnumber=10352131

Reference72 articles.

1. Software forensics: Extending authorship analysis techniques to computer programs;MacDonell;J. Law Inf. Sci.,2002

2. Effective identification of source code authors using byte-level information

3. Stylistics analysis and authorship attribution algorithms based on self-organizing maps

4. Choosing a profile length in the SCAP method of source code authorship attribution

5. On improving authorship attribution of source code;Tennyson

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