C. López*¹, J. L. Salmerón²

^1,2 Universidad Pablo de Olavide, Ctra. de Utrera, km. 1, 41013, Sevilla, España. *E–mail: clopvar@upo.es

ABSTRACT

At present, numerous ambient intelligent (AmI) applications are emerging which support current electronic and digital environments. Professionals develop each of them by means of projects. AmI application projects have certain features that make them different from other engineering projects. Moreover, a wide rage of risks are present in the whole project. Therefore, to increase these projects' chances to be successful, it is necessary to manage their specific risks adequately. In order to support the work of those practitioners managing these threats, this research proposes a multicriteria decision–making methodology called Analytic Hierarchy Process. This technique will enable the prioritization of risks in Ami projects according to their level of threat.

Keywords: AmI applications, risk management, multicriteria decision–making methodology, software development.

RESUMEN

Hoy en día se están desarrollando numerosos sistemas de inteligencia ambiental (AmI) que soportan los actuales entornos electrónicos y digitales. Los profesionales desarrollan estas aplicaciones por medio de proyectos, los cuales tienen ciertas características que los diferencian de otros proyectos de ingeniería; además, una gran variedad de riesgos están presentes, amenazando su ejecución y resultado final. Por lo tanto, para aumentar la probabilidad de que estos proyectos culminen exitosamente, es necesario gestionar adecuadamente los riesgos que los amenazan. Con el fin de facilitar a los profesionales la labor de gestión de estos riesgos, esta investigación propone la aplicación de una metodología de decisión multicriterio, denominada AHP. Esta técnica nos permitirá priorizar los riesgos existentes en los proyectos de AmI de acuerdo con su nivel de amenaza.

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Acknowledgments

The authors wish to thank the Spanish Ministry of Science and Technology (MICINN–ECO2009.12853) and the Andalusian Regional Goverment (CICE–P07–SEJ–03080) for their financial support.

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