The evolutionary approach to semantics-driven CBD automation

The representation and manipulation of the semantic usability of components is one of the most critical issues in the component-based development (CBD) paradigm. This paper originally addresses the component semantics in principle of evolutionary algorithm (EA), where an automatic component evolution process is presented based on a genetic component model, along with the feature-oriented component semantics taken as the driving force for the CBD process. In this paper we emphasize the importance of knowledge representation and reasoning in CBD automation. Through introducing description logics (DL) into our approach, we believe that without the support of AI-based automation, CBD will spend or risk no less than the traditional development paradigms.