Test case optimisation a nature inspired approach using bacteriologic algorithm
by Praveen Ranjan Srivastava
International Journal of Bio-Inspired Computation (IJBIC), Vol. 8, No. 2, 2016

Abstract: Software testing is prime concern for the software industry and researchers. In the software testing process test cases play an important and significant role. Optimisations of test cases are essential to test the software effectively. Finding maximum number of faults and rectifying them before actual software release is most complex and critical during software development process. This paper deals with software test case optimisation using bacteriologic algorithm (BA) and requirement mapping-based approach. Test case optimisation deals with selecting effective test cases having maximum code coverage and fault detection capability, consequently minimising and prioritising the test cases.

Online publication date: Wed, 04-May-2016

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