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An Application of Neural Network in Method for Use Case Based Effort Estimation
Radoslav Štrba, Svatopluk Štolfa, Jakub Štolfa, Ivo Vondrák, Václav Snášel
231 - 248
10.3233/978-1-61499-720-7-231
Frontiers in Artificial Intelligence and Applications
Volume 292: Information Modelling and Knowledge Bases XXVIII
Abstract

Effort overruns is common problem in software development. Our main intention is to support estimation by method for classification of use cases. The goal of this paper is to evaluate usage of the feed-forward neural network for the Use Case classification purposes. Experimental results show that the feed-forward neural network classifier, using softmax activation function in the output layer and hyperbolic tangent activation function in the hidden layer, offers the best classification performance.

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