Paper Info
Title
Construction of Prioritized T-Way Test Suite Using Bi-Objective Dragonfly Algorithm
Abstract
Software testing is important for ensuring the reliability of software systems. In software testing, effective test case generation is essential as an alternative to exhaustive testing. For improving the software testing technology, the t-way testing technique combined with metaheuristic algorithm has been great to analyze a large number of combinations for getting optimal solutions. However, most of the existing t-way strategies consider test case weights while generating test suites. Priority of test cases hasn't been fully considered in previous works, but in practice, it's frequently necessary to distinguish between high-priority and low-priority test cases. Therefore, the significance of test case prioritization is quite high. For this reason, this paper has proposed a t-way strategy that implements an adaptive Dragonfly Algorithm (DA) to construct prioritized t-way test suites. Both test case weight and test case priority have equal significance during test suite generation in this strategy. We have designed and implemented a Bi-objective Dragonfly Algorithm (BDA) for prioritized t-way test suite generation, and the two objectives are test case weight and test case priority. The test results demonstrate that BDA performs competitively against existing t-way strategies in terms of test suite size, and in addition, BDA generates prioritized test suites.
Year
DOI
Venue
2022
10.1109/ACCESS.2022.3188856
IEEE ACCESS
Keywords
DocType
Volume
Testing, Metaheuristics, Licenses, Software systems, Genetic algorithms, Credit cards, Computer bugs, Bi-objective, dragonfly algorithm, multi-objective optimization, prioritized test suite, test case priority, t-way testing
Journal
10
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Mashuk Ahmed100.34
Abdullah B. Nasser201.35
Kamal Z. Zamli321620.50