Current software cost estimation models, such as the 1981 Constructive Cost Model (COCOMO) for software cost estimation and its 1987 Ada COCOMO update, have been experiencing increasing difficulties in estimating the costs of software developed to new life cycle processes and capabilities. These include non-sequential and rapid-development process models; reuse-driven approaches involving comme...

In this research, it is concerned with constructing software effort estimation model based on artificial neural networks. The model is designed accordingly to improve the performance of the network that suits to the COCOMO model. In this paper, it is proposed to use multi layer feed forward neural network to accommodate the model and its parameters to estimate software development effort. The n...

This paper reports on the findings of a case study in a company in the financial services sector in which we replicated the use of a previously published approach to systematically balance the contextual uncertainties in the estimation of Enterprise Resource Planning (ERP) projects. The approach is based on using three techniques, a parametric model, namely COCOMO II, a portfolio management mod...

Created to provide a software cost estimation model suited for a rapidly evolving environment, the COCOMO II model is the result of a 1994 research effort to update the 1981 COnstructive COst MOdel and its 1987 Ada version. Boehm et al [3, 15] provided the initial definition and rationale for this model. The model’s inputs include Source Lines of Code and/or Function Points as the sizing parame...

Software Effort Estimation (SEE) is one of the main activities in development of the software projects. Effort estimation in primary stages of development of the software is one of the important challenges the software projects manager faces. One of the common models of SEE is the Constructive Cost Model (COCOMO) model. In this model, the effort for development of the software projects is a fun...

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...

Software cost estimation is a challenging and onerous task. Estimation by analogy is one of the expedient techniques in software effort estimation field. However, the methodology utilized for the estimation of software effort by analogy is not able to handle the categorical data in an explicit and precise manner. Early software estimation models are based on regression analysis or mathematical ...

The COnstructive COst MOdel, COCOMO, was developed to estimate the effort and cost to complete a software project. All business enterprises involved in developing software must know their costs to maintain their long-term viability. COCOMO measures the size of the project is lines of code. When the size of the project is measured in function points, COCOMO uses a function points to lines of cod...

The Constructive Cost Model (COCOMO) is one of the famous software cost estimation model developed by Barry W. Boehm. This model is used to estimate software costs, duration and maintenance efforts early in the development life cycle. COCOMO model has a simple function with two parameters to be estimated. Many techniques were used to estimate those parameters such as fine tuning and better pred...