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A severe problem that impacts the software project is inaccurate estimation of the effort. Estimation of the software development effort remains an intricate problem. The complexity of the software and its scope are increasing alarmingly which attracts many researchers. Past the decades numerous techniques have been introduced and implemented. Many of them have given good results with acceptable error...
In this paper, we propose a novel Artificial Neural Network (ANN) to predict software effort from use case diagrams based on the Use Case Point (UCP) model. The inputs of this model are software size, productivity and complexity, while the output is the predicted software effort. A multiple linear regression model with three independent variables (same inputs of the ANN) and one dependent variable...
Remote sensing provides huge multi-temporal data for earth surface, which has not been used completely. In the study, based on Visual C++ and Geographic Information System (GIS) platform, a multi-temporal data processing system using Grey Model (GM) is developed. By the interactive system, some functions, such as data input/output, visualization, simulation, prediction, data transformation, comparison,...
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