Features and Supervised Machine Learning Based Method for Singleton Design Pattern Variants Detection-Reference-Cited by-同舟云学术

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Features and Supervised Machine Learning Based Method for Singleton Design Pattern Variants Detection

Published:2023 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering
language:
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Author:

Nacef Abir¹,Bahroun Sahbi²,Khalfallah Adel¹,Ben Ahmed Samir¹

Affiliation:

1. Faculty of Mathematical, Physical and Natural Sciences of Tunis (FST), Computer Laboratory for Industrial Systems, Tunis El Manar University, Tunisia, --- Select a Country ---

2. Higher Institute of Computer Science (ISI), Limtic Laboratory, Tunis El Manar University, Tunisia, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Singleton and Factory Design Patterns Detection Based on Features and Machine Learning;Communications in Computer and Information Science;2024

2. Attention-Based Method for Design Pattern Detection;Lecture Notes in Computer Science;2024

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