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    STUDIA INFORMATICA - Issue no. Sp.Issue%202 / 2009  
         
  Article:   SOFTWARE COST ESTIMATION MODEL BASED ON NEURAL NETWORKS.

Authors:  CĂLIN ENĂCHESCU, DUMITRU RĂDOIU. 		 
       
         
  Abstract:   Software engineering is providing estimation models in order to evaluate the costs for important phases of software development such as requirements analysis, high and low level design, development, testing, deployment and maintenance. The paper proposes a software cost estimation model based on neural networks and compares it with traditional cost estimation models. The paper argues that there are at least two considerable advantages for the neural network model: neural networks can learn from previous experience and secondly, neural networks can discover a complete set of relations between dependent variables(software cost, software size, required effort, etc.) and independent variables(complexity of the project, number of inputs and outputs, files, various cost drives etc.).

Key words and phrases. software development cost estimation, software metrics, neural networks. 		 
         
     
         
         
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