This paper summarizes several classes of software cost estimation models and techniques: parametric models, expertise-based techniques, learning-oriented techniques, dynamics-based models, regression-based models, and composite-Bayesian techniques for integrating expertisebased and regression-based models. Experience to date indicates that neural-net and dynamics-based techniques are less matur...

Cost overrun of software projects is major cause of their failures. In order to facilitate accurate software cost estimation, there are several metrics, tools and datasets. In this paper, we evaluate and compare different metrics and datasets in terms of similarities and differences of involved software attributes. These metrics forecast project cost estimations based on different software attr...

Software project managers have expressed concern over their inability to estimate accurately the costs associated with software development. Various cost estimation methods are available for use in software development process but concern lies in selecting better software cost estimation model to arrive at accurate cost estimation. This paper gave an overview of software cost estimation and ans...

Estimating the cost of software is a fundamental and difficult process in information technology (IT) industry. Underestimation causes assigning fewer resources than the project needs and setting an unrealistic schedule. On the other hand, overestimation results in waste of resources and low customer satisfaction. It is clear that, software projects can be prioritized efficiently and resources ...

One of important aspects of software projects is estimating the cost and time required to develop projects. Nowadays, this issue has become one of the key concerns of project managers. Accurate estimation of essential effort to produce and develop software is heavily effective on success or failure of software projects and it is highly regarded as a vital factor. Failure to achieve convincing a...

There exist numerous sophisticated models and methods for estimating the size, cost and schedule of software projects. However, the ability to accurately predict the software cost of web based software for agile software projects is still dubious. The most appropriate web based software cost estimation in an agile software development environment is a big problem due to varying levels of custom...

Software development effort estimation is essential for software project planning and management. In this study, we present a spectral clustering algorithm based on symmetric matrixes as an option data processing. It expected that constructing model more similar can increase the accuracy. The research methods employ symmetrical processing experimentation. Four experimental models function point...