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 ensemb...

This contribution deals with problems related to an effort estimation of the software projects which are connected to the development of secured products. The aim of this contribution is to present an option of an effective consideration of the effort which is connected with the software products development. The FPA and COCOMO II methods for cost estimation are extended by the security factors...