Combining Structural Features and Software Metrics for Automated Design Pattern Detection | Zendy

Mohammed Ghazi Al-Obeidallah | Zendy

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Combining Structural Features and Software Metrics for Automated Design Pattern Detection

Author(s) -

Mohammed Ghazi Al-Obeidallah

Publication year - 2025

Publication title -

ieee access

Language(s) - English

Resource type - Magazines

SCImago Journal Rank - 0.587

H-Index - 127

eISSN - 2169-3536

DOI - 10.1109/access.2025.3620144

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Design patterns provide reusable solutions to recurring software design problems. Since their introduction by the Gang of Four in 1994, identifying these patterns in object-oriented programs has remained a challenging task, particularly with regard to leveraging software metrics. This paper proposes a two-phase detection approach that combines structural features with software metrics to identify design patterns. The approach was evaluated on eight subject systems, achieving a precision of 88%. The experimental results demonstrate that the hybrid use of structural analysis and software metrics is effective in detecting design pattern instances.

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