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    STUDIA INFORMATICA - Issue no. 2 / 2015  
         
  Article:   SOFTWARE DEFECT DETECTION USING SELF-ORGANIZING MAPS.

Authors:  ZSUZSANNA MARIAN, ISTVÁN GERGELY CZIBULA, GABRIELA CZIBULA. 		 
       
         
  Abstract:   This paper addresses the problem of software defect detection, an important problem which helps to improve the software systems maintainability and evolution. In order to detect defective entities within a software system, a self-organizing feature map is proposed. The trained map will be able to identify, using unsupervised learning, if a software module is defective or not. We experimentally evaluate our approach on three open-source case studies, also providing a comparison with similar existing approaches. The obtained results emphasize the effectiveness of using self-organizing maps for software defect detection and confi rm the potential of our proposal.

2010 Mathematics Subject Classifi cation. 68T05, 62H30. 		 
         
     
         
         
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