Title: Test sequence optimisation: an intelligent approach via cuckoo search

Authors: Praveen Ranjan Srivastava; Chandolu Sravya; Ashima; Sai Kamisetti; Manogna Lakshmi

Addresses: 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

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.

Keywords: cuckoo search; heuristic algorithm; optimisation; test sequences; software testing; software development.

DOI: 10.1504/IJBIC.2012.047237

International Journal of Bio-Inspired Computation, 2012 Vol.4 No.3, pp.139 - 148

Received: 22 Jun 2011
Accepted: 14 Oct 2011
Published online: 22 Sep 2014 *

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