A Test Generation Strategy For Variable-Strength and T-way Interaction

Bestoun S. Ahmed, Kamal Z. Zamli (Autoren)

Buch | Softcover

144 Seiten

2014
Scholar's Press (Verlag)
978-3-639-66114-9 (ISBN)

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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.

Obtained his BSc degree in Electrical Engineering from the Salahuddin University-Hawler in 2004 and his MSc degree from University Putra Malaysia in 2009 and his PhD degree from University Sains Malaysia, Software Engineering, in 2012. He is now a lecturer and IT director in the college of engineering, Salahaddin University-Hawler, Software Dep.

Erscheint lt. Verlag	9.7.2014
Sprache	englisch
Maße	150 x 220 mm
Gewicht	231 g
Themenwelt	Mathematik / Informatik ► Informatik
ISBN-10	3-639-66114-1 / 3639661141
ISBN-13	978-3-639-66114-9 / 9783639661149
Zustand	Neuware