Comparative Analyses of Mining Semantic Techniques for Identifying Crosscutting Concern Indications in Object-Oriented Software
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Abstract
The maintenance activity is carried out to change the structure of software, guaranteeing its integrity. This activity becomes easier when you have a complete understanding of the behavior of the various software components. Seeking this understanding, research has been done to propose approaches in the identification and separation of source code for a specific functionality that is intertwined and spread over several modules of the software. Thus, an analysis of semantic mining techniques to identify signs of crosscutting concerns in object-oriented software is presented. Thus, the goal is to clarify the operation of some techniques for detecting indications of crosscutting concerns and present a comparison between these techniques, analyzing the results criteria of granularity of user involvement, symptoms of the existence of crosscutting concerns and the types of information necessary for computation techniques.
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How to Cite
Santana, J. L. P. de, Costa, H. A. X., & Resende, A. M. P. de. (2010). Comparative Analyses of Mining Semantic Techniques for Identifying Crosscutting Concern Indications in Object-Oriented Software. INFOCOMP Journal of Computer Science, 9(6), 9–18. Retrieved from https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/378
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