Optimized feature selection with crosscutting concerns in software product line feature model

Abstract

Software Product Line Engineering (SPLE) is best paradigm to build new products with high reusability from existing resources. Feature model is commonly used for resource management with variable and common features under product line. Key idea of feature model is to manage commonalities and variabilities of resources with mandatory, alternative and optional features. Crosscutting concerns are tangled and scattered in overall system which reduce the reusability of resources because of dependency with other features. At modeling level, the identification of these features is an important task to construct them as a separate aspect module. As a result, the addition or deletion of these aspects do not affect the system. In this paper we present: (1) an approach to find crosscutting concerns by using union-find algorithm, (2) genetic algorithm for optimized feature selection with resource constraints and crosscutting concerns.