Software Cost Estimation using Stacked Ensemble Classifier and Feature Selection

Predicting the cost of development effort is essential for successful projects. This helps software project managers to allocate resources, and determine budget or delivery date. paper evaluates a set machine learning algorithms techniques in predicting A feature selection algorithm utilized enhance accuracy prediction process. evaluations are presented based on basic classifiers stacked ensemble with without approach. The evaluation study uses dataset from 76 university students' Results show that using classifier technique can increase models.