Test optimisation: an approach based on modified algorithm for software network Online publication date: Fri, 11-Sep-2020
by Manju Khari; Prabhat Kumar; Gulshan Shrivastava
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 17, No. 3/4, 2020
Abstract: Testing is an indispensable part of the software development life cycle. It is performed to improve the performance, quality, efficiency and reliability of the software. In this paper, three algorithms are implemented namely: genetic algorithm, cuckoo search algorithm, and artificial bee colony for the purpose of test suite optimisation and with the help of results obtained a novel algorithm will be proposed to enhance the result of optimisation. To test a system, suitable test cases are developed but these test cases need to be optimised, as executing all the test cases is a time-consuming process. An idea to reduce the number of test cases which in turn reduces the testing time and work of a software tester. In order to optimise test cases, nature-inspired algorithms are used as they provide the best optimisation techniques. Experimental results show that proposed algorithm generates better results as compared to the existing algorithms.
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