An empirical study on clone consistency prediction based on machine learning-Reference-Cited by-同舟云学术

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An empirical study on clone consistency prediction based on machine learning

Published:2021-08 Issue: Volume:136 Page:106573
ISSN:0950-5849
Container-title:Information and Software Technology
language:en
Short-container-title:Information and Software Technology

Author:

Zhang Fanlong^ORCID,Khoo Siau-cheng

Funder

China Scholarship Council

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference39 articles.

1. Survey of research on software clones;Koschke,2007

2. A survey on software clone detection research;Roy;Queen’s School Comput. TR,2007

3. An empirical study of code clone genealogies;Kim,2005

4. A study of consistent and inconsistent changes to code clones;Krinke,2007

5. How clones are maintained: An empirical study;Aversano,2007

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1. A survey on machine learning techniques applied to source code;Journal of Systems and Software;2024-03

2. A Comprehensive Study on Code Clones in Automated Driving Software;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

3. Cross-project clone consistent-defect prediction via transfer-learning method;Information Sciences;2023-07

4. Clone consistent-defect prediction based on deep learning method;Information Sciences;2023-07

5. Evaluation of Reinforcement Learning Algorithm on SSH Honeypot;2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE);2022-12-13

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