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http://dx.doi.org/10.5392/JKCA.2011.11.5.075

Aspect Mining Process Design Using Abstract Syntax Tree  

Lee, Seung-Hyung (경희대학교 컴퓨터공학과)
Song, Young-Jae (경희대학교 컴퓨터공학과)
Publication Information
The Journal of the Korea Contents Association / v.11, no.5, 2011 , pp. 75-83 More about this Journal
Abstract
Aspect-oriented programming is the paradigm which extracts crosscutting concern from a system and solves scattering of a function and confusion of a code through software modularization. Existing aspect developing method has a difficult to extract a target area, so it is not easy to apply aspect mining. In an aspect minning, it is necessary a technique that convert existing program refactoring elements to crosscutting area. In the paper, it is suggested an aspect mining technique for extracting crosscutting concern in a system. Using abstract syntax structure specification, extract functional duplicated relation elements. Through Apriori algorithm, it is possible to create a duplicated syntax tree and automatic creation and optimization of a duplicated source module, target of crosscutting area. As a result of applying module of Berkeley Yacc(berbose.c) to mining process, it is confirmed that the length and volume of program has been decreased of 9.47% compared with original module, and it has been decreased of 4.92% in length and 5.11% in volume compared with CCFinder.
Keywords
Crosscutting Concern; Abstract Syntax Tree; Aspect Mining;
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