A fuzzy matching approach for design pattern mining

Authors:
Yuxin Wang;He Guo;Hongbo Liu;Ajith Abraham
Affiliations:
School of Computer, Dalian University of Technology, Dalian, China;School of Computer, Dalian University of Technology, Dalian, China;School of Computer, Dalian University of Technology, Dalian, China;Machine Intelligence Research Labs --MIR Labs, USA IT For Innovations --EU Center of excellence, VSB --Technical University of Ostrava, Ostrava, Czech Republic
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Hybrid approaches for approximate reasoning
Year:
2012

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Special issue: Hybrid approaches for approximate reasoning

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Hybrid approaches for approximate reasoning

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Abstract

Mining design patterns from source code is significant for improving the intelligibility and maintainability of software. In this paper, we present a new design pattern matching method based on fuzzy, in which matrix model is used for describing both design pattern and source code, and design pattern's static and dynamic information is defined as fuzzy attribute value for measuring the matching degree. Experiments on three open-source projects demonstrate the accuracy and efficiency of the proposed methodology.