PHandler: An expert system for a scalable software requirements prioritization process
A scalable software requirement prioritization system is proposed. The system utilizes RV function of VIRP technique for requirement value. The neural network is used to predict the requirement value. The initial competition is resolved with the application of proposed exceptions. The AHP is applied to resolve the final competition among requirements.
expert systems software requirement prioritization artificial neural networks hybrid model decision support