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...

Providing effective IT support for business processes has become crucial for enterprises to stay competitive in their market. Business processes must be defined, configured, implemented, enacted, monitored and continuously adapted to changing situations. Process life cycle support and continuous process improvement have therefore become critical success factors in enterprise computing. In respo...

estimation of the conceptual costs in construction projects can be regarded as an important issue in feasibility studies. this estimation has a major impact on the success of construction projects. indeed, this estimation supports the required information that can be employed in cost management and budgeting of these projects. the purpose of this paper is to introduce an intelligent model to im...

Controlling and minimizing coordination costs has been shown to be an important factor to reduce overall project performance in distributed software development. In this research-in-progress paper we investigate the effects of software complexity, software integration, distributed labor division policies, learning effects on software coordination costs. Drawing from data collected on 130 softwa...

Money demand determinants vary in every economy. There are many studies about Iran money demand function, which employed different variables and estimation methods. In this study, broad money (M2) is dependent variable and GDP, interest rate, exchange rate and household religious costs are descriptive variables. Household religious costs (urban and rural) are included in Iran money demand funct...

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...

Software cost estimation is a key open issue for the software industry, which suffers from cost overruns frequently. As the most popular technique for object-oriented software cost estimation is Use Case Points (UCP) method, however, it has two major drawbacks: the uncertainty of the cost factors and the abrupt classification. To address these two issues, refined the use case complexity classif...

One of the greatest challenges for software developers is forecasting the development effort for a software system for the last decades. The capability to provide a good estimation on software development efforts is necessitated by the project managers. Software effort estimation model divided into two main categories: algorithmic and nonalgorithmic. These models too have difficulty in modeling...

It is well documented that the software industry suffers from frequent cost overruns. A contributing factor is, we believe, the imprecise estimation terminology in use. A lack of clarity and precision in the use of estimation terms reduces the interpretability of estimation accuracy results, makes the communication of estimates difficult, and lowers the learning possibilities. This paper report...