Empirical Studies on Applications of Neural Networks as Approximation Oracle
Abstract
Expected results are essential to any test design. In testing, an Oracle is a trusted source of expected results. This research examines the performance of Artificial Neural Network (ANN) as Approximation Oracle. The supervised learning paradigm has been used and found to be suitable for the purpose with the help of case studies.
DOI: https://doi.org/10.3844/jcssp.2005.341.345
Copyright: © 2005 K. K. Aggarwal, Yogesh Singh and Arvinder Kaur. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Test Oracle
- Neural Networks
- Software Testing