One of the problems in software cost estimation is how to evaluate estimation models. Estimation models are usually evaluated against two attributes: estimation accuracy and estimation consistency. A number of measures are reported in the literature, but they have shortcomings. There is no generally accepted standard to evaluate estimation models and the existing measures sometimes are not cons...

One of the most critical tasks during the software development life cycle is that of estimating the effort and time involved in the development of the software product. Estimation may be performed by many ways such as: Expert judgments, Algorithmic effort estimation, Machine learning and Analogy-based estimation. In which Analogy-based software effort estimation is the process of identifying on...

Project Failure is the major problem undergoing nowadays as seen by software project managers. Imprecision of the estimation is the reason for this problem. As software grew in size and importance it also grew in complexity, making it very difficult to accurately predict the cost of software development. This was the dilemma in past years. The greatest pitfall of software industry was the fast ...

Early software effort estimation is a hallmark of successful software project management. Building a reliable effort estimation model usually requires historical data. Unfortunately, since the information available at early stages of software development is scarce, it is recommended to use software size metrics as key cost factor of effort estimation. Use Case Points (UCP) is a prominent size m...

This paper revisits the conclusion instability problem identified by Kitchenham, Foss, Myrtveit et.al.; i.e. conclusions regarding which software effort estimation method is “best” is highly contingent on (1) the evaluation criteria and (2) the subset of the data used in the evaluation. Using non-parametric methods (the Mann-Whitney U test), we show how to avoid conclusion instability. This pap...

Software effort estimation research shows that there is no universal agreement on the “best” effort estimation approach. This is largely due to the “ranking instability” problem, which is highly contingent on the evaluation criteria and the subset of the data used in the investigation. There are a large number of different method combination exists for software effort estimation, selecting the ...

: 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...

In current scenario of software industries, Software effort estimation is very important task for software manager for successful completion of the project. Prediction is always challenging task and in recent days effort estimation take many researcher’s attention. Prediction with more accuracy is also an important for prediction models. We use Feed-Forward Neural Network for software developme...