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Issue title: Hybrid approaches for approximate reasoning
Article type: Research Article
Authors: Wang, Yuxin | Guo, He | Liu, Hongbo | Abraham, Ajith
Affiliations: 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
Note: [] Corresponding author. Yuxin Wang, School of Computer, Dalian University of Technology, China. E-mail: [email protected]
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.
Keywords: Design pattern, fuzzy matching, pattern mining, matrix model
DOI: 10.3233/IFS-2012-0495
Journal: Journal of Intelligent & Fuzzy Systems, vol. 23, no. 2-3, pp. 53-60, 2012
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