Reformation with Neural Network in Automated Software Testing
 |
International Journal of Computer Trends and Technology (IJCTT) |  |
| © - June Issue 2013 by IJCTT Journal | ||
| Volume-4 Issue-6 |
||
| Year of Publication : 2013 | ||
| Authors :Ayush Kumar Yogi |
Ayush Kumar Yogi "Reformation with Neural Network in Automated Software Testing"International Journal of Computer Trends and Technology (IJCTT),V4(6):1820-1824 June Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: - In the practical scenario, neural network has showed its efficient performance in diversity of applications. As the software testing is the main moving wheel in the software development, there must be adoption of new techniques to move faster the testing wheels. In this paper the impact of neural network on software testing and how we can improve and get efficient results in testing phase is described. An idea proposed to professional automated testing tools developers how they can absorb neural network technique in their testing tool. Generally after testing phase completes and actual results have obtained then at comparative phase of actual and desired test results of test cases the neural network is adopted. To absorb neural network in software testing gives the meaning to test software using neural network technique from its initial input data for test to at the end of test.
References-
[1] Dr. Hameed Nameti, Introduction to Data Mining Using Artificial Neural Networks, ISM 611.
[2] Meenakshi Vanmali, Mark Last, Abraham Kandel,"Using a Neural Network in the Software Testing Process”, INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, VOL. 17, 45–62 (2002), © 2002 John Wiley & Sons, Inc.
[3] Manoj Kumar Panda , "Empirical Testing Of The Neural Network Application Using Feedforward Testing Method”, International Journal of Engineering Research & Technology (IJERT),IJERT Vol. 2 Issue 6, June – 2013
Keywords Neural network, software testing, professional automated testing tools.