Supporting Aspect-Oriented Paradigm by bio-inspired concepts

Abstract

The idea of applying the biological principle of natural evolution to artificial systems, introduced more than three decades ago, has seen impressive growth in the past few years. Usually these artificial systems group bio-inspired systems, evolutionary computation, artificial life, etc. This convinced all that nature has much we might be inspired by when designing our systems and the genetics is a promising inspiration. Extensive methodologies and systems, mapping it, were developed. But the mapping of the natural genetics to the software design has been however very limited. Actually, intensive efforts are being invested for upgrading programming tools from high level programming languages to design languages, including Aspect-Oriented Paradigm (AOP). The growing interest of AOP and its application in several domains necessitates its enrichment by strong concepts which are intended to support effectively the application domain diversity. This paper proposes such enhancement inspired from natural genetics. We first present Bio-inspired, Aspect-Oriented, and Subject-Oriented software design approaches. Then the enrichment of AOP, induced by a Bio-inspired approach, with its supporting design methodology will be introduced and evaluated.