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...

We can say a software project is successful when it is delivered on time, within the budget and maintaining the required quality. However, nowadays software cost estimation is a critical issue for the advance software industry. As the modern software’s behaves dynamically so estimation of the effort and cost is significantly difficult. Since last 30 years, more than 20 models are already develo...

Besides of these there are many equation based effort estimation techniques like Halstead Model, Bailey-Basil Model, and Walston-Felix Model. Cost and effort estimation are the major concern of any software industry. They are identified with the help of Kilo Line Code (KLOC) which denotes number of, line of code in software. For example if a software contain 2000 lines then it has 2 kilo line o...