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  1. Home
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  5. T-way strategy for (sequence less input interaction) test case generation inspired by fish swarm searching algorithm
 
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T-way strategy for (sequence less input interaction) test case generation inspired by fish swarm searching algorithm

Journal
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
ISSN
18678211
Date Issued
2020-01-01
Author(s)
Rahman M.
Sultana D.
Qaiduzzaman K.M.
Hasan M.H.
R Badlishah Ahmad
Universiti Malaysia Perlis
Othaman R.R.
DOI
10.1007/978-3-030-52856-0_12
Handle (URI)
https://hdl.handle.net/20.500.14170/9020
Abstract
Since twenty years, several t-way strategies have been developed for Combinatorial Input Interaction (CII) based system to reduce the number of test cases in the test suite. The t-way strategy can be applied to Sequence-less CII system, where all inputs are parameterized and parallel. From the literature, the searching methods used in t-way strategies are divided into deterministic and non-deterministic for reducing test cases for all test configurations. It is found that t-way strategy is an NP-hard problem; no deterministic and non-deterministic t-way strategies claim that their strategy can generate the optimal number of test cases for all test configurations. In this research, an Interactive t-way Test Case Generation (ITCG) algorithm is proposed inspiring fish swarm searching algorithm to integrate with t-way strategy and evaluate the generated number of test cases comparing with existing renown t-way strategies. The results show that the proposed t-way test case generation inspiring Fish Swarm Searching Algorithm for sequence-less CII able to generate optimal and feasible results for different test configurations.
Subjects
  • Combinatorial input i...

File(s)
Research repository notification.pdf (4.4 MB)
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