Title :
Model of cross-culture risk prediction base on Bayesian belief networks for software project
Author :
Khuankrue, Issarapong ; Rivepiboon, Wanchai
Author_Institution :
Fac. of Eng., Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok, Thailand
Abstract :
Software development team with an international members, or cross-culture members, may have problems form risk factors of Language, Style of communication, Attitudes about the time and Development method, which of course most of these risk factors will lead to the software project failure as well as other general factors. This paper presents a model to predict the risk factors mentioned above by using mathematical modeling as Bayesian belief network. It is also important for project managers in risk management software and needed to minimize the damage that may occur with software projects.
Keywords :
belief networks; cultural aspects; human factors; project management; risk analysis; software development management; team working; Bayesian belief network; attitude; communication style; cross-culture members; cross-culture risk prediction model; development method; international members; language; mathematical modeling; project management; risk factor; risk management software; software development team; software project failure; Bayesian methods; Predictive models; Programming; Risk management; Schedules; Software; Bayesian belief network; Cross-culture risk; Risk prediction; Software project management;
Conference_Titel :
Innovation Management and Technology Research (ICIMTR), 2012 International Conference on
Conference_Location :
Malacca
Print_ISBN :
978-1-4673-0655-3
DOI :
10.1109/ICIMTR.2012.6236458
