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Recently, researchers have started to explore the use of Artificial Intelligence (AI)-based algorithms as t-way (where t indicates the interaction strength) and variable-strength testing strategies. Many AI-based strategies have been developed, such as Ant Colony, Simulated Annealing, Genetic Algorithm, and Tabu Search. Although useful, most existing AI-based strategies adopt complex search processes and require heavy computations. For this reason, existing AI-based strategies have been confined to small interaction strengths (i.e., t 3) and small test configurations. Recent studies demonstrate the need to go up to t=6 in order to capture most faults. This book presents the design and implementation of a new interaction test generation strategy, known as the Particle Swarm-based Test Generator (PSTG), for generating t-way and variable-strength test suites. Unlike other existing AI-based strategies, the lightweight computation of the particle swarm search process enables PSTG to support high interaction strengths of up to t=6. The performance of PSTG is evaluated using several sets of benchmark experiments. PSTG consistently outperforms its AI counterparts.

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Zařazení knihy Knihy v angličtině Computing & information technology Information technology: general issues

• Plný název: Test Generation Strategy For Variable-Strength and T-way Interaction
• Autor: Bestoun S. Ahmed, Kamal Z. Zamli
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 144
• EAN: 9783639661149
• ISBN: 3639661141
• ID: 07174501
• Nakladatelství: Scholars' Press
• Hmotnost: 222 g
• Rozměry: 229 × 152 × 9 mm
• Datum vydání: 09. July 2014

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