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    STUDIA INFORMATICA - Issue no. 1 / 2009  
         
  Article:   A COMPARATIVE ANALYSIS OF CLUSTERING ALGORITHMS IN ASPECT MINING.

Authors:  GRIGORETA SOFIA COJOCAR, GABRIELA CZIBULA, ISTVAN GERGELY CZIBULA.
 
       
         
  Abstract:  Aspect mining is a research direction that tries to identify crosscutting concerns in already developed software systems, without using aspect oriented programming. The goal is to identify them and then to refactor them to aspects, to achieve a system that can be easily understood, maintained and modified. In this paper we aim at comparatively analyzing four clustering algorithms in aspect mining. The comparison is made using a set of quality measures previously introduced in aspect mining literature.

Key words and phrases. Aspect mining, Clustering, Crosscutting concerns.
 
         
     
         
         
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