Research Article Open Access

Empirical Studies on Applications of Neural Networks as Approximation Oracle

K. K. Aggarwal1, Yogesh Singh1 and Arvinder Kaur1
  • 1 ,
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

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.

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Keywords

  • Test Oracle
  • Neural Networks
  • Software Testing