With the development of technology, software is becoming critical for
the success of many large systems. There are many risks involved in
creating high quality software on time and within budget. The success of
software product, both functionally and financially is directly related
to the quality of the requirements. Software requirement risk addresses
the possibility of suffering a loss of any functional or non-functional
requirement of the system. It refers to the uncertainties caused by
differences between the requirements perceived by developers and user
groups' expectation of the system. Requirement risk can lower project
performance therefore effective management of it is critical to achieve
desired project performance. In our research work a Requirement Risk
Prioritization Model (RRPM) has been proposed. Implementation of
inspection technique is done to identify the key requirement risk
factors responsible in achieving successful outcome and use a Bayesian
network approach to prioritize the requirement risks that leads to fail
a software project. These Results can be used to compute the overall
risk metric associated with a project.