nowadays, software cost estimation (sce) with machine learning techniques are more performance than other traditional techniques which were based on algorithmic techniques. in this paper, we present a new hybrid model of multi-layer perceptron (mlp) artificial neural network (ann) and ant colony optimization (aco) algorithm for high accuracy in sce called multilayer perceptron ant colony optimi...

The main goal of software project cost and effort estimation is to scientifically estimate the required workload and its corresponding costs in the life cycle of software system. Software cost estimation is a complex activity that requires knowledge of a number of key attributes that affect the outcomes of software projects, both individually and in concert. The most critical problem is the lot...