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Robust Fault-Tolerant Training Strategy Using Neural Network to Perform Functional Testing of Software


Affiliations
1 Department of Computer Science, Pragati Engineering College, Kakinada City, India
 

This paper is intended to introduce an efficient as well as robust training mechanism for a neural network which can be used for testing the functionality of software. The traditional setup of neural network architecture is used constituting the two phases -training phase and evaluation phase. The input test cases are to be trained in first phase and consequently they behave like normal test cases to predict the output as untrained test cases. The test oracle measures the deviation between the outputs of untrained test cases with trained test cases and authorizes a final decision. Our framework can be applied to systems where number of test cases outnumbers the functionalities or the system under test is too complex. It can also be applied to the test case development when the modules of a system become tedious after modification.

Keywords

ATNN, Fault, Neural, Test Case, Test Oracle.
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  • Robust Fault-Tolerant Training Strategy Using Neural Network to Perform Functional Testing of Software

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Authors

Manas Kumar Yogi
Department of Computer Science, Pragati Engineering College, Kakinada City, India
L. Yamuna
Department of Computer Science, Pragati Engineering College, Kakinada City, India

Abstract


This paper is intended to introduce an efficient as well as robust training mechanism for a neural network which can be used for testing the functionality of software. The traditional setup of neural network architecture is used constituting the two phases -training phase and evaluation phase. The input test cases are to be trained in first phase and consequently they behave like normal test cases to predict the output as untrained test cases. The test oracle measures the deviation between the outputs of untrained test cases with trained test cases and authorizes a final decision. Our framework can be applied to systems where number of test cases outnumbers the functionalities or the system under test is too complex. It can also be applied to the test case development when the modules of a system become tedious after modification.

Keywords


ATNN, Fault, Neural, Test Case, Test Oracle.

References