Bioinspired Models of Network, Information, and Computing Systems. 4th International Conference, BIONETICS 2009, Avignon, France, December 9-11, 2009, Revised Selected Papers

Research Article

ONTO-RUP: A RUP Based Approach for Developing Ontogenetic Software Systems

Download214 downloads
  • @INPROCEEDINGS{10.1007/978-3-642-12808-0_14,
        author={Farida Kherissi and Djamel Meslati},
        title={ONTO-RUP: A RUP Based Approach for Developing Ontogenetic Software Systems},
        proceedings={Bioinspired Models of Network, Information, and Computing Systems. 4th International Conference, BIONETICS 2009, Avignon, France, December 9-11, 2009, Revised Selected Papers},
        proceedings_a={BIONETICS},
        year={2012},
        month={5},
        keywords={Use Cases Change Cases Ontogenetic Systems Rational Unified Process},
        doi={10.1007/978-3-642-12808-0_14}
    }
    
  • Farida Kherissi
    Djamel Meslati
    Year: 2012
    ONTO-RUP: A RUP Based Approach for Developing Ontogenetic Software Systems
    BIONETICS
    Springer
    DOI: 10.1007/978-3-642-12808-0_14
Farida Kherissi1,*, Djamel Meslati1,*
  • 1: University Badji Mokhtar-Annaba, BP 12
*Contact email: Kherissi_farida@hotmail.com, Meslati_djamel@yahoo.com

Abstract

It is impossible to produce systems of any size which do not need to be changed. Once software is put into use, new requirements emerge and existing requirements change as the business running that software changes. Ontogenetic software systems have the ability to evolve dynamically in an autonomous way to meet the user needs and the anticipated and unanticipated changes of requirements. The evolution of these systems has the particularity to be a continuous process that shapes them from the beginning of their creation. This characteristic does not match the current development methods which consider the evolution a sporadic process. All current methods are still unsuitable for development of ontogenetic software systems. Indeed, they do not provide any tool or artifact to take into account the anticipated and unanticipated changes. In this article, we propose an extension of the Rational Unified Process that aims at providing a preliminary framework that allows developing ontogenetic systems.