Paper Info
Title
An Application of Neural Network in Method for Use Case Based Effort Estimation.
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.
Year
DOI
Venue
2016
10.3233/978-1-61499-720-7-231
Frontiers in Artificial Intelligence and Applications
Keywords
Field
DocType
Effort Estimation,Use Case,Artificial Neural Network,Backpropagation Softmax Function,Hyperbolic Tangent Function
Discrete mathematics,Artificial intelligence,Artificial neural network,Mathematics
Conference
Volume
ISSN
Citations 
292
0922-6389
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Radoslav Strba103.04
Svatopluk Štolfa22513.96
Jakub Štolfa31310.23
Ivo Vondrák49610.56
Václav Snasel51261210.53