Genetic Algorithm Approach For Test Case Generation Randomly: A Review

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2017 by IJCTT Journal
Volume-49 Number-4
Year of Publication : 2017
Authors : Deepak kumar, Manu Phogat
  10.14445/22312803/IJCTT-V49P134

MLA

Deepak kumar, Manu Phogat "Genetic Algorithm Approach For Test Case Generation Randomly: A Review". International Journal of Computer Trends and Technology (IJCTT) V49(4):213-216, July 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
The quality of software is dependent on testing as per user specifications and requirements. So it is quite challenging to design, prioritize and optimize test cases to achieve quality. Different testing tools can be used for software testing either manually or automatically. During the recent studies it is found that automated software testing is better than manual testing by using heuristic search. In this paper presents a survey on genetic algorithm approach for random generation of test cases in functional software testing.

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