Title: Performance comparison of Bat search and Cuckoo search using software artefact infrastructure repository and regression testing

Authors: Arun Prakash Agrawal; Arvinder Kaur

Addresses: Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University, Uttar Pradesh Noida, India ' University School of Information and Communication Technology, Guru Gobind Singh Indraprastha University, New Delhi, India

Abstract: Regression testing is conducted to ensure that no new errors have been introduced into the software as a result of the maintenance activity performed. Re-executing all the existing test cases is however a highly expensive and time consuming approach to gain this confidence. Previous research revealed that nature inspired algorithms have vast application in this area. In this paper, Bat search algorithm is tested against Cuckoo search algorithm to solve regression test case selection problem. Two factors: number of faults covered and computational time are considered for the comparison. Extensive experiments have been conducted over the objects adopted from benchmarked software artifact infrastructure repository. Rigorous statistical tests are conducted to draw a conclusion that Cuckoo search is marginally advantageous over Bat search algorithm with respect to performance parameters. We believe that the results reported in this paper will enable researchers to develop more powerful algorithm for testing in near future.

Keywords: regression testing; test effort optimisation; metaheuristics; Bat search algorithm; Cuckoo search optimisation.

DOI: 10.1504/IJAIP.2021.112899

International Journal of Advanced Intelligence Paradigms, 2021 Vol.18 No.2, pp.99 - 118

Received: 18 Mar 2017
Accepted: 26 Oct 2017
Published online: 09 Feb 2021 *

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