Journal
INFORMATION AND SOFTWARE TECHNOLOGY
Volume 44, Issue 15, Pages 911-922Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/S0950-5849(02)00128-3
Keywords
artificial neural network; regression models; software development effort
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Estimating the amount of effort required for developing an information system is an important project management concern. In recent years, a number of studies have used neural networks in various stages of software development. This study compares the prediction performance of multilayer perceptron and radial basis function neural networks to that of regression analysis. The results of the study indicate that when a combined third generation and fourth generation languages data set were used, the neural network produced improved performance over conventional regression analysis in terms of mean absolute percentage error. (C) 2002 Elsevier Science B.V. All rights reserved.
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