A Survey Paper on Test Case Generation and Optimization: Cuckoo Search and Firefly Algorithm

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Paper Details

Paper Title

A Survey Paper on Test Case Generation and Optimization: Cuckoo Search and Firefly Algorithm

Authors

Kavita Choudhary, Shilpa, Yogita Gigras, Payal Rani, Akshath Grover

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Abstract

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

Keywords- Meta-heuristic techniques, Test data generation, Optimization, Cuckoo Search, Firefly Algorithm

Publication Details

Unique Identification Number - IJEDR1502107
Page Number(s) - 584-589
Pubished in - Volume 3 | Issue 2 | May 2015
DOI (Digital Object Identifier) -
Publisher - IJEDR (ISSN - 2321-9939)

Cite this Article

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 (IJEDR), ISSN:2321-9939, Volume.3, Issue 2, pp.584-589, May 2015, Available at :http://www.ijedr.org/papers/IJEDR1502107.pdf

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