Software component selection algorithm using intelligent agents

Abstract

We have developed one stochastic model for intelligent selection of software components, in Internet. Components can be physically located in different repositories, and the selection is done using a XML file which is associated to each component. This file contains the most relevant characteristics of the component, with one extra field stored to be used by this algorithm; this field is called "pheromone", which is a concept taken from collective intelligence theory that has been the main inspiration of this work. Swarm intelligence is based on each agent capacity to work individually in order to achieve a collective goal; intelligent agents interact not only with each other but also with their environment. This model can be used not only for component selection but also for services, resources, etc. This is because it is general enough for been replicated with different types of requirements. © Springer-Verlag Berlin Heidelberg 2007.