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ISSN: 1549-3636 (Print)
ISSN: 1552-6607 (Online)
Research Article Open Access

Empirical Studies on Applications of Neural Networks as Approximation Oracle

K. K. Aggarwal, Yogesh Singh and Arvinder Kaur

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.

Journal of Computer Science
Volume 1 No. 3, 2005, 341-345

DOI: https://doi.org/10.3844/jcssp.2005.341.345

Submitted On: 3 March 2005 Published On: 30 September 2005

How to Cite: Aggarwal, K. K., Singh, Y. & Kaur, A. (2005). Empirical Studies on Applications of Neural Networks as Approximation Oracle. Journal of Computer Science, 1(3), 341-345. https://doi.org/10.3844/jcssp.2005.341.345

Open AccessCopyright: © 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