: The main aim of the proposed system is to assist the software development team to estimate the cost, effort and maintenance of the project under development. Android-based platform, namely MIT App Inventor is used for the development of application, which contains visual block programming language. The current study has following uniqueness of (1)Accuracy of results,(2)user friendly environme...

Good software cost prediction is important for effective project management such as budgeting, project planning and control. In this paper, we present an intelligent approach to software cost prediction. By integrating the neuro-fuzzy technique with the well-accepted COCOMO model, our approach can make the best use of both expert knowledge and historical project data. Its major advantages inclu...

In this paper, we have tuned the parameters of COCOMO II model to estimate the software development effort using genetic algorithm (GA). Results obtained by applying GA are have been compared with results obtained by applying particle swarm optimization (PSO) published in previous paper. COCOMO II model is modified by introducing some more parameters to predict the software development effort m...

A project’s elaboration profile consists of a set of ratios called elaboration factors that quantify the step-wise expansion of a project’s requirements from very high-level business objectives to very low-level source lines of code. Knowledge of a project’s elaboration profile can be extremely useful in deriving an early estimate of its size. The real challenge, however, is to predict the elab...

Problem statement: Software development effort estimation is the process of predicting the most realistic use of effort required for developing software based on some parameters. It has always characterized one of the biggest challenges in Computer Science for the last decades. Because time and cost estimate at the early stages of the software development are the most difficult to obtain and th...

It has been claimed that dynamic prediction models can be used to help project managers make more accurate estimates than static prediction models. However, such a claim needs to be validated so that project managers can use dynamic models with confidence. In this paper, we discuss an experiment we conducted in an academic environment that compared a dynamic model using BBNs with a static model...

Offshore software development projects comprise of several critical success factors which may jeopardize the success of such a collaborative development project. We therefore require methods that will help in reducing the risk in such offshore outsourcing software development project. This article introduces a Study based on COCOMO II which can be used to estimate the effort of globally distrib...