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Aspect Mining Process Design Using Abstract Syntax Tree

추상구문트리를 이용한 어스팩트 마이닝 프로세스 설계

  • 이승형 (경희대학교 컴퓨터공학과) ;
  • 송영재 (경희대학교 컴퓨터공학과)
  • Received : 2011.04.26
  • Accepted : 2011.05.12
  • Published : 2011.05.28

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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