Test sequence optimisation: an intelligent approach via cuckoo search

Authors:
Praveen Ranjan Srivastava;Chandolu Sravya; Ashima;Sai Kamisetti;Manogna Lakshmi
Affiliations:
Department of Computer Science and Information Systems, Birla Institute of Technology and Science (BITS), Pilani-333 031, Rajasthan, India.;Department of Computer Science and Information Systems, Birla Institute of Technology and Science (BITS), Pilani-333 031, Rajasthan, India.;Department of Computer Science and Information Systems, Birla Institute of Technology and Science (BITS), Pilani-333 031, Rajasthan, India.;Department of Computer Science and Information Systems, Birla Institute of Technology and Science (BITS), Pilani-333 031, Rajasthan, India.;Department of Computer Science and Information Systems, Birla Institute of Technology and Science (BITS), Pilani-333 031, Rajasthan, India
Venue:
International Journal of Bio-Inspired Computation
Year:
2012

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Abstract

Exhaustive testing is never the appropriate approach in software testing as this violates the principle of cost effectiveness in software development as well as puts time and other resources at stake. This explains the need to optimise the process of software testing. The present paper gives an overview of cuckoo search algorithm and its role in software coverage optimisation. This paper proposes an algorithm to generate optimised test sequence(s), which obtains 100% software coverage based on cuckoo search.