A risk identification architecture pattern based on Bayesian network

Abstract

Web projects continually face a high degree of visible developmental failure. Such inefficiencies in web projects cost losses in terms of money and time thus negatively impacting on business growth. Web development projects have an array of unique risks different from those found in traditional software development projects. Many failures associated with web projects are the consequences of poor awareness of the risks involved and the weak management of these risks. Although many approaches have been proposed to overcome this shortcoming, there is still a huge gap between these approaches and actual industry needs. This research aims to improve risk management through the design of a risk identification architecture pattern based on Bayesian network to help avoid risks in the web project, and improve the chances of managing critical risks beforehand. The paper presents a case study of the practical applications of the proposed model in an actual web project.