A systematic literature review on the use of machine learning in code clone research

M Kaur, D Rattan - Computer Science Review, 2023 - Elsevier
Context: Research related to code clones includes detection of clones in software systems,
analysis, visualization and management of clones. Detection of semantic clones and …

Clone consistent-defect prediction based on deep learning method

F Zhang, Y Che, T Liang, W Jiang - Information Sciences, 2023 - Elsevier
Many consistent changes take place across code clones in software, and this has emerged
as a severe issue for software security. If the developers forget to modify the relevant clones …

An empirical study on clone consistency prediction based on machine learning

F Zhang, S Khoo - Information and Software Technology, 2021 - Elsevier
Abstract Context: Code Clones have been accepted as a common phenomenon in software,
thanks to the increasing demand for rapid production of software. The existence of code …

CloneRipples: predicting change propagation between code clone instances by graph-based deep learning

Y Wu, Y Chen, X Peng, B Hu, X Wang, B Fu… - Empirical Software …, 2025 - Springer
Code clones are recognized as a code smell that may require additional effort for
simultaneous changes of multiple clone instances during software maintenance. To alleviate …

The existence and co-modifications of code clones within or across microservices

R Mo, Y Zhao, Q Feng, Z Li - Proceedings of the 15th ACM/IEEE …, 2021 - dl.acm.org
In recent years, microservice architecture has been widely applied in software design. In
addition, more and more monolithic software systems have been migrated into a …

A Comprehensive Study on Code Clones in Automated Driving Software

R Mo, Y Jiang, W Zhan, D Wang… - 2023 38th IEEE/ACM …, 2023 - ieeexplore.ieee.org
With the continuous improvement of artificial intelligence technology, autonomous driving
technology has been greatly developed. Hence automated driving software has drawn more …

Predicting change propagation between code clone instances by graph-based deep learning

B Hu, Y Wu, X Peng, C Sha, X Wang, B Fu… - Proceedings of the 30th …, 2022 - dl.acm.org
Code clones widely exist in open-source and industrial software projects and are still
recognized as a threat to software maintenance due to the additional effort required for the …

Software Maintenance Models and Processes: An Overview

A Masrat, MA Makki, H Gawde - Available at SSRN 3838444, 2021 - papers.ssrn.com
With the passage of time, the softwares that are being developed are getting complex and
intrinsically large. Maintenance of these softwares constitute a big challenge for the software …

[PDF][PDF] Structure Equation Modelling for Machine Learning Techniques Adopted for Prediction in it SMES

DSG Gollagi, DP Kumar Pareek - 2021 - papers.ssrn.com
Abstract Machine Learning approaches are useful and have all around attempted to be
useful in goal issues and specialized issues that need information. As a rule, the bundle …

[PDF][PDF] Spectral Analysis to Enhance Reliability

DSG Gollagi, DP Kumar Pareek - 2021 - papers.ssrn.com
Software defect prediction is a process of constructing machine learning classifiers to predict
defective code snippets, using historical information in software repositories such as code …