000			03682ntm a2200361 i 4500
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003			MY-KuUP
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008			240108t20232023my a|||fr|||| 000 0 eng d
020			_aTHE0009822 (Local) _qHardback
040			_aUMPSA _beng _cUMP _erda
090			_aFKOM .M37 2023 r Thesis
100	1		_aMashuk Ahmed, _eauthor.
245	1	0	_aConstruction of Prioritized T-Way Test Suite using Bi-objective Dragonfly Algorithm (BDA) / _cMashuk Ahmed
264		1	_aKuantan, Pahang : _bUMPSA, _c2023
264		4	_c©2023
300			_axii, 78 pages : _billustrations (some color) ; _c30 cm. + _e1 CD-ROM
336			_2rdacontent _atext
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
337			_2rdamedia _acomputer
338			_2rdacarrier _avolume
338			_2rdacarrier _acomputer disc
347			_2rda _atext file _bPDF
500			_aFaculty of Computing
502			_aThesis (Master of Science) -- Universiti Malaysia Pahang – 2023
504			_aIn order to save time and resources in software testing, it’s important to avoid exhaustively testing all test cases. For strengthening the software testing system, the t-way testing strategy using metaheuristic algorithm has been useful to process a large number of input combinations for obtaining optimal solutions. However, almost all existing t-way testing strategies mainly consider test case weight while constructing test suites; there has hardly been any consideration of test case priority in the existing works. But due to the continuously increasing complexity of software systems at present, it’s often significant to identify and classify high-priority test cases and low-priority test cases. Focusing only on test case weight is helpful in reducing the test suite size, but it may not be enough for complex software systems. In most of the current t-way testing methods, due to not considering test case priority while testing, many highly prioritized test cases can stay ignored, causing unsatisfactory test outcomes. For test case prioritization while constructing t-way test suites, further improvements on the existing t-way strategies are necessary. Therefore, this research has proposed a t-way testing method implementing an adaptive Dragonfly Algorithm (DA) to construct prioritized test suites. While constructing test suites in this strategy, both test case weight and test case priority have equal importance. The research has also analyzed the potential of the Dragonfly Algorithm for generating prioritized t-way test suites. There has been an implementation of a Bi-objective Dragonfly Algorithm (BDA) to construct prioritized test suites, where the two objectives are test case weight and test case priority. The experimental results demonstrate that the proposed method performs strongly against existing t-way testing methods like PSO, HSS, FPA, All Pairs, VPTag, SCA, and TLBO in term of test suite size, and in addition, the test cases generated by the proposed method have high priority levels. Non-parametric tests like Friedman Tests and Wilcoxon Signed-Rank Tests were conducted for the statistical analysis of the test results. The null hypothesis was rejected 57.14% times, and in the remaining cases, the proposed method showed competitive results compared to other methods. Overall, the designed t-way testing method has been successful in constructing smaller test suites and ensuring high priority levels of constructed test cases.
610	2	0	_aFaculty of Computing _xDissertations
650		0	_aUniversities and colleges _xDissertations
650		0	_aTheses _xDissertations
942			_2lcc _cTHESIS