A Statistical Approach to Resolve Conflicting Requirements in Pervasive Computing Systems

Pervasive computing systems are complex and challenging. In this research, our aim is to build a robust reference architecture for pervasive computing derived from real business needs and based on process re-engineering practices. We derived requirements from different sources grouped by selected quality features and worked on refining them by identifying the conflicts among these requirements, and by introducing solutions for them. We checked the consistency of these solutions across all the requirements. We built a mathematical model that describes the degrees of consistency with the requirements model and showed that they are normally distributed within that scope.