Oracle model based on RBF neural networks for automated software testing.

Lu Ying; Ye Mao

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Oracle model based on RBF neural networks for automated software testing.

Author(s)

Lu Ying Computer Science and Engineering College, Xi’an Technological University, Xi’an, China

Ye Mao School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China

Abstract

Oracle is one of the most difficult and expensive parts in automated software testing. It is explored in this paper to use Radial Basis Function Neural Networks (RBF NN) to construct an automated oracle model. The automated oracle generate the approximate outputs that are close to expected outputs after training. Actual outputs are then compared with the approximate outputs to determine if there is a failure when software is running. Oracle can therefore be implemented automatically and the precision be adjusted by parameters. It will save a lot of time and cost in software testing.

Publication Details

Page(s) 469-474

DOI DOI not available

Published Journal: Information technology Journal, Volume: 6, Issue: 3, Year: 2007

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