Abstract
Test oracle is a mechanism that to determine whether the actual output value of the program is in line with expectations. It is an indispensable part of software testing process and also a weak area in software testing. The automation of test oracle not only effectively reduces the burden on testers, but also provides strong support for uninterrupted continuous testing. Heuristic-based oracle has the advantage of easy implementation, fast execution, and wider fault coverage. Heuristic-based oracle usually uses BP neural network as oracle information, but compared with probabilistic neural network, BP neural network has its limitation in classification. Aiming at the classification problem, this paper proposes a test oracle based on probabilistic neural network. Experiments show that it is better than BP neural network in prediction speed and accuracy.
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Zhang, R., Wang, Yw., Zhang, Mz. (2019). Automatic Test Oracle Based on Probabilistic Neural Networks. In: Patnaik, S., Jain, V. (eds) Recent Developments in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 752. Springer, Singapore. https://doi.org/10.1007/978-981-10-8944-2_50
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DOI: https://doi.org/10.1007/978-981-10-8944-2_50
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