A Survey Paper on Test Case Generation and Optimization: Cuckoo Search and Firefly Algorithm
- Kavita Choudhary
- Shilpa
- Yogita Gigras
- Payal Rani
- Akshath Grover
Meta-heuristic techniques, Test data generation, Optimization, Cuckoo Search, Firefly Algorithm
The optimization problems that are encountered are solved by implementing some metaheuristic techniques. In this paper, two of the meta-heuristic techniques are undertaken for checking the optimality of the set of solutions. One of the techniques is cuckoo search i.e. able to generate the set of test cases and optimizes them. Another algorithm is firefly algorithm is used here for checking the optimality of set of test cases that are generated from the cuckoo search. The paper reviews the concepts of test case generation and optimization and produces the results of maximum code coverage in the execution of optimal set of solutions
Kavita Choudhary, Shilpa, Yogita Gigras, Payal Rani, Akshath Grover. "A Survey Paper on Test Case Generation and Optimization: Cuckoo Search and Firefly Algorithm".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 2, pp.584-589, URL :https://rjwave.org/ijedr/papers/IJEDR1502107.pdf
Volume 3 Issue 2
Pages. 584-589
