Comparative Analyses of Mining Semantic Techniques for Identifying Crosscutting Concern Indications in Object-Oriented Software

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.