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Frontiers of Computer Science

Front. Comput. Sci.    2018, Vol. 12 Issue (5) : 908-922
Software design pattern mining using classification-based techniques
Ashish Kumar DWIVEDI(), Anand TIRKEY(), Santanu Kumar RATH()
Department of Computer Science and Engineering, National Institute of Technology, Rourkela 769008, India
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Design patterns are often used in the development of object-oriented software. It offers reusable abstract information that is helpful in solving recurring design problems. Detecting design patterns is beneficial to the comprehension and maintenance of object-oriented software systems. Several pattern detection techniques based on static analysis often encounter problems when detecting design patterns for identical structures of patterns. In this study, we attempt to detect software design patterns by using software metrics and classification-based techniques. Our study is conducted in two phases: creation of metrics-oriented dataset and detection of software design patterns. The datasets are prepared by using software metrics for the learning of classifiers. Then, pattern detection is performed by using classification-based techniques. To evaluate the proposed method, experiments are conducted using three open source software programs, JHotDraw, QuickUML, and JUnit, and the results are analyzed.

Keywords design patterns      design pattern mining      machine learning techniques      object-oriented metrics     
Corresponding Authors: Ashish Kumar DWIVEDI,Anand TIRKEY,Santanu Kumar RATH   
Just Accepted Date: 28 March 2017   Online First Date: 25 May 2018    Issue Date: 21 September 2018
 Cite this article:   
Ashish Kumar DWIVEDI,Anand TIRKEY,Santanu Kumar RATH. Software design pattern mining using classification-based techniques[J]. Front. Comput. Sci., 2018, 12(5): 908-922.
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Ashish Kumar DWIVEDI
Santanu Kumar RATH
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