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  1. Home
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  5. Adopting Ant Colony Optimization Algorithm for Pairwise T-Way Test Suite Generation Strategy
 
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Adopting Ant Colony Optimization Algorithm for Pairwise T-Way Test Suite Generation Strategy

Journal
Journal of Physics: Conference Series
ISSN
17426588
Date Issued
2021-07-26
Author(s)
Nuraminah Ramli
Universiti Malaysia Perlis
Rozmie Razif Othman
Universiti Malaysia Perlis
Hendradi R.
Fauzi S.S.M.
Ismail I.
Mohd Zamri Zahir Ahmad
Universiti Malaysia Perlis
Mohd Wafi Nasrudin
Universiti Malaysia Perlis
DOI
10.1088/1742-6596/1962/1/012045
Abstract
Combinatorial testing or t-way testing (t represents strength) is useful to detect faults due to interactions. Pairwise testing is one type of t-way testing. The technique is effective in reducing the number of test cases without decreasing the level of coverage. Besides, its purpose is to overcome the problem of exhaustive testing that produces a great number of test cases and is impossible to be implemented due to time and cost constraints. Pairwise T-way Test Suite Generation Strategy based on Ant Colony Optimization (pTTSGA) is introduced to generate a near-optimum test suite size. Experiments have been conducted to evaluate the ability of this strategy for pairwise testing. The results are compared to benchmark results. Overall, pTTSGA produces a comparable test suite size.
Funding(s)
Ministry of Higher Education, Malaysia
Subjects
  • ACO algorithm | metah...

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