Accuracy enhancement of Component based selection model using Hybrid Soft computing

Accuracy enhancement of Component based selection model using Hybrid Soft computing Need of component based selection is growing day by day. There have been several researches in existence that analyzed existing component based selection model using soft computing techniques. Several research works focused on optimizing software component selection model in CBSE using soft computing techniques. Thus there is need to improve the performance of component based selection model using hybrid soft computing techniques. Several performance parameters are considered during data analytics operation. Organization tends to utilize mapping tools in order build sustainable designs for their processes as well as capabilities. During data analytics, acquisition, security, governance and standards, Insights and analysis, storage, visualization, optimization operation are performed. Proposed research has integrated PSO optimization technique with ANN based neural network to enhance the accuracy of component based selection model.