Proposed Software Testing Using Intelligent techniques (Intelligent Water Drop (IWD) and Ant Colony Optimization Algorithm (ACO))
This paper proposed software testing system by using artificial
intelligent techniques. And that was conducted through Suggestion
Intelligent Water Drop Algorithm (IWD) with white box testing
for generated basis bath testing and using Ant Colony
Optimization Algorithm (ACO) for test data generation. Correctly
generated Test data helps in reducing the effort while testing the
software. Automatic generation of test data is required to enables
the corporation which develops the program to save time and
costs as well as ensuring the test process quality, which is
estimated by 50% of the product cost.
Keywords: Artificial Intelligent Techniques, Intelligent Water
Drop (IWD), Ant Colony Optimization (ACO), Software Testing,
Path Basis Testing, Test Data Generation.
Keywords: IJCSI-2013-10-5-7254
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ABOUT THE AUTHOR
Baraa
have BSc. In 2006,in Software Eng. From Dept of Software Eng., university of Mosul, Iraq,Researcher in 2011, MSc. Student in 2011 Dept. of Software Eng., university of Mosul, interested research fields are in Artificial Intelligent technique, software eng.
Baraa
have BSc. In 2006,in Software Eng. From Dept of Software Eng., university of Mosul, Iraq,Researcher in 2011, MSc. Student in 2011 Dept. of Software Eng., university of Mosul, interested research fields are in Artificial Intelligent technique, software eng.
