Ranking risks in ambient intelligence projects

 

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.

 

DESCARGAR ARTÍCULO EN FORMATO PDF

 

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.

 

References

[1] Helal A, Mann W., El–Zabadani H., King J., Kaddoura Y., Jansen E., The gator tech smart house: A programmable pervasive space, IEEE Computer, Vol. 38, No. 3, 2005, pp. 50–60.         [ Links ]

[2] Rakotonirainy A., Tay R., In–vehicle ambient intelligent transport systems (i–vaits): Towards an integrated research, 7th international IEEE Conference on intelligent Transportation Systems, 2004, pp. 648––651. Washington DC, EEUU.         [ Links ]

[3] Shi Y., Xie W., Xu G., Shi R., Chen E., Mao Y., Liu F., The smart classroom: Merging technologies for seamless tele–education, IEEE Pervasive Computing, Vol. 2, No. 2, 2003, pp. 47–55.         [ Links ]

[4] Isern D., Sánchez D., Moreno A., Agents applied in health care: A review, international Journal of Medical informatics, Vol. 79, No. 3, 2010, pp. 145–166.         [ Links ]

[5] Gadzheva M., Privacy in the Age of Transparency, Social Science Computer Review, Vol. 26, No. 1, 2008, pp. 60–74.         [ Links ]

[6] Cooka D.J., Augusto J.C., Jakkula V.R., Ambient intelligence: Technologies, applications, and opportunities, Pervasive and Mobile Computing, Vol. 5, No. 4, 2009, pp. 277–298.         [ Links ]

[7] Vrana I., Aly S., Conceptual models for managerial ambient intelligence, 2th international Ambient intelligence Forum, 2009, pp. 53–63, Prague, Czech Republic.         [ Links ]

[8] Augusto, J.C., McCullagh, P., Ambient intelligence: Concepts and Applications, Computer Science and information Systems, Vol. 4, No. 1, 2007, pp. 1–28.         [ Links ]

[9] Raisinghani, M., Benoit, A., Ding, J., Gomez, M., Gupta, K., Gusila, V., Power, D., Schmedding, O., Ambient intelligence: Changing forms of human–computer interaction and their social implications, Journal of digital information, Vol. 5, No. 4, 2004, p. 271.         [ Links ]

[10] Dorofee A.J., Walker J.A., Alberts C.J., Higuera R.P., Murphy R.L., Williams R.C., Continuous risks management guidebook, Software Engineering institute (SEI), 1996, Pittsburgh, EEUU.         [ Links ]

[11] Saaty T.L., The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation, McGraw–Hill, 1980, New York, EEUU.         [ Links ]

[12] Saaty T.L., A scaling method for priorities in hierarchical structures, Journal of Mathematical Psychology, Vol. 15, No. 3, 1977, pp. 234–281.         [ Links ]

[13] Zahedi F., The analytic hierarchy process. A survey of the method and its applications, Interfaces, Vol. 16, No. 4, 1986, pp. 96–108.         [ Links ]

[14] Okoli, C., Pawlowski S., The Delphi method as a research tool: an example, design considerations and applications, Information & Management, Vol. 42, No. 1, 2004, pp. 15–29.         [ Links ]

[15] Clayton, M., Delphi: a technique to harness expert opinion for critical decision–making tasks in education, Educational Psychology, Dorchesteron – Thames, Vol. 17, No. 4, 1997, pp. 373–387.         [ Links ]