"Detecting Design Patterns in Object-Oriented Program Source Code by Using Metrics and Machine Learning"
written by Satoru Uchiyama, Atsuto Kubo, Hironori Washizaki, Yoshiaki Fukazawa,
published by Journal of Software Engineering and Applications, Vol.7 No.12, 2014
has been cited by the following article(s):
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[1] СИСТЕМА АНАЛИЗА ПРОГРАММНОГО КОДА ДЛЯ СОЗДАНИЯ ГРАФИЧЕСКИХ ИНТЕРФЕЙСОВ
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[9] A Multiple Level Detection Approach for Design Patterns Recovery from Object-oriented Programs
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[10] Dynamic Understanding of Software System Using Structural and Semantic Based Detection of Design Patterns and Antipatterns
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[11] Reverse Engineering State and Strategy Design Patterns using Static Code Analysis
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[12] Pattern detection and design rationale traceability: an integrated approach to software design quality
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[18] A Goal Question Metric (Gqm) Approach for Evaluating Interaction Design Patterns in Drawing Games for Preschool Children
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[19] MLDA: A Multiple Levels Detection Approach for Design Patterns Recovery
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[20] A Survey on Design Pattern Detection Approaches
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[21] Intelligent Data-Driven Reverse Engineering of Software Design Patterns
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[22] On applying machine learning techniques for design pattern detection
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[23] Ein Framework für automatisierte Architekturtests
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[24] Leukemia Medical Application with Security Features
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[25] A survey: Design pattern detection approaches with metrics
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[26] A Static Analysis of Android Source Code for Design Patterns Usage