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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.
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