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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Abraham, B., Aguilar, J., Batista, J.: Software Component Selection Algorithm Based on Artificial Ant Systems. Technical Report 01-2005, Centro de Estudios en Microelectronica y Sistemas Distribuidos – CEMISID (2005)
Aguilar, J., Velasquez, L., Pool, M.: The Combinatorial Ant System. Applied Artificial Intelligence 18(5), 427–446 (2004)
Barros, T., Henrio, L., Madelaine, E.: Behavioural models for hierarchical components. In: Godefroid, P. (ed.) SPIN 2005. LNCS, vol. 3639, pp. 154–168. Springer, Heidelberg (2005)
Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence. From Natural to Artificial Systems. Oxford University Press, Oxford (1999)
ComponentSource, http://www.componentsource.com (Accesed in Oct. 2005)
Dellarocas, C.: Software Component Interconection Should be Treated as a Distinct Distinct Problem. In: Proceedings of the 8th Annual Workshop on Software Reuse (1997)
Fischer, B.: Deduction-Based Software Component Retrieval. Mathematic and Informatics Faculty, University of Passau Germany, Thesis Report (November 2001)
Gómez-Perez, A., Lozano, A.: Impact of Software Components Characteristics above Decision-making Factors. In: 2000 International Workshop on Component-Based Software Engineering (CBSE 2000), Limerick, Ireland (2000)
Hamlet, D., Mason, D., Woit, D.: Theory of System Reliability Based on Components. In: Workshop Proceedings, ICSE 2000, 3rd Workshop on CBSE (W09), Limerick, Ireland (May 2000)
Search Engine, http://freshmeat.net (Accessed in 12/Oct./2005)
Seacord, R., Hissan, S., Wallnau, K.: Agora: A Search Engine for Software Components. IEEE Internet Computing 2(6), 62–70 (1998)
Silvestri, F., Puppin, D., Laforenza, D.: Toward a Search Architecture for Software Components. In: ISTI-CNR, Italy (January 2004)
Sugumaran, V., Storey, V.: A Semantic Based Approach to Component Retrieval. The Data Base for Advances in Information Systems 34(3) (2003)
Wooldridge, M.J., Muller, J.P., Tambe, M. (eds.): Assistant Agents that Distribute How-To-Do Knowledge. Intelligent Agents II. Lecture Notes in AI, Volume 1037, pp. 408–411. Springer-Verlag (1996)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Abraham, B.Z., Aguilar, J.C. (2007). Software Component Selection Algorithm Using Intelligent Agents. In: Nguyen, N.T., Grzech, A., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2007. Lecture Notes in Computer Science(), vol 4496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72830-6_9
Download citation
DOI: https://doi.org/10.1007/978-3-540-72830-6_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72829-0
Online ISBN: 978-3-540-72830-6
eBook Packages: Computer ScienceComputer Science (R0)