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    STUDIA INFORMATICA - Issue no. 2 / 2006  
         
  Article:   A GRAPH ALGORITHM FOR IDENTIFICATION OF CROSSCUTTING CONCERNS.

Authors:  GABRIELA ŞERBAN, GRIGORETA SOFIA MOLDOVAN.
 
       
         
  Abstract:  The purpose of this paper is to present a new graph-based ap-proach in aspect mining. We define the problem of identifying the crosscutting concerns as a search problem in a graph and we introduce GAAM algorithm (Graph Algorithm in Aspect Mining) for solving this problem. We evaluate the results obtained by applying GAAM algorithm from the aspect mining point of view, based on a set of quality measure that we have previously defined in [3]. The proposed approach is compared with a clustering approach in aspect mining ([4]) and a case study is also reported.  
         
     
         
         
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