Risk based decision support system for stakeholder quantification for value based software systems

Abstract

Stakeholder identification and quantification (SIQ) is one of the core processes in software requirements engineering (RE). The significance of stakeholders becomes more vital when a software project is a valuebased software (VBS) and the value-based requirements engineering (VBRE) is involved in it.VBS systems are developed based on business concepts in order to gain market leverage in terms of financial or economic benefits. Different SIQ approaches are presented in literature. However, most of the approaches are partially effective and SIQ process is still immature. The techniques are presented and applied under different conditions in order to monitor the performance of the approach. The presented techniques are vague and difficult to initiate. In this research, a decision support system is presented for stakeholders’ quantification. The proposed system predicts the risk associated with the stakeholders using backpropagation neural network (BPNN).