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Title:
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COST PREDICTION USING NEURAL NETWORK LEARNING TECHNIQUES
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Author:
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Jitendra , Vikas , Kuldeep , Samiksha
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Keywords:
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Algorithmic models, Cost Prediction, SLOC.
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Abstract:
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The continuous hardware and software development, jointly with the world economical interaction phenomenon has contributed to the competitiveness increase between producing and delivering companies of software product and services. Cost prediction is the process of estimating the effort required to develop a software system. Cost prediction is an important part of software development. In recent years, software has become the most expensive component of computer system. The bulk of the cost of software development is due to the human effort and most cost estimation methods focus on this aspect and give estimate in terms of person –months. In this paper, we will discuss how we can predict the cost using Neural Network learning techniques.
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