An Application of Neural Network in Method for Use Case Based Effort Estimation

作者:Strba Radoslav*; Stolfa Svatopluk; Stolfa Jakub; Vondrak Ivo; Snasel Vaclav
来源:26th International Conference on Information Modelling and Knowledge Bases (EJC), 2016-06 to 2016-06.
DOI:10.3233/978-1-61499-720-7-231

摘要

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.

  • 出版日期2017

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