PHandler: An expert system for a scalable software requirements prioritization process

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Software requirement prioritization,Artificial neural networks,Expert systems,Hybrid model,Decision support

论文评审过程：Received 29 March 2014, Revised 13 February 2015, Accepted 9 April 2015, Available online 20 April 2015, Version of Record 13 May 2015.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.04.010