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Context: Aspect-Oriented Requirements Engineering (AORE) is a research field that provides the most  appropriate strategies for identification, modularization and composition of CrossCutting Concerns (CCC).  Problem: in last years, researchers have developed several AORE approaches. However, some  experimental studies have found problems with the accuracy of these approaches, regarding to the CCC  identification recall. This mainly occurs, due to: (i) the lack of knowledge presented by the users of these  approaches about the crosscutting nature of CCC; and (ii) the lack of resources to support users of these  approaches during to CCC identification. Goal: this work aims to improve the values of the recall and  precision metrics of a well-known AORE approach, called Theme/Doc, with regard to CCC identification.  To do this, we propose an extension of this approach, called OnTheme/Doc, in which the CCC identification  activity is supported by ontologies. Experimental results: the data obtained from an experimental study  performed on OnTheme/Doc showed a significant increasing of recall, without negative effects on the  precision and execution time of the approach.

OnTheme/Doc - An Ontology-based Approach for Crosscutting Concern Identification from Software Requirements