EFFORT ESTIMATION OF OBJECT ORIENTED SYSTEM USING STOCHASTIC TREE BOOSTING TECHNIQUE

Abstract

Effort Estimation is one of the necessary and daunting tasks in software engineering. Effort Estimation means to predict the effort required to develop the software project. Predicting the effort with high precision is an ultimatum that draws the concern of researchers. In a need to develop best products within proper schedule, the work of proper effort estimation is of basic necessity. No doubt, there are a lot of effort estimation techniques which are already developed like COCOMO (Cost Constructive Model) etc. but these effort estimation techniques have sustained unsuitable for estimation of object oriented software because they are used for procedural programming concept. Presently, object oriented concept is frequently used in practice and as Class is the base of object oriented design so the use of Class Point approach(CPA) to estimate the effort supports the estimator in a much better way. The performance of model obtained using CPA can be upgraded by applying Stochastic Tree Boosting (STB) technique over forty project dataset collected from different sources in order to improve its prediction accuracy.