Combinatorial Test Generation Strategy Using Adaptive Cuckoo Search - Shamsadin, Taib
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This research proposes a new strategy to generate the combinatorial test suite using Cuckoo Search concepts. Cuckoo Search is used for the design and implementation a strategy to construct optimized combinatorial sets. The strategy consists of different algorithms for construction in which they are combined to serve the Cuckoo Search. The new technique proved its efficiency and performance through different experiment sets, and obtained the most optimal size and duration time for five input-factors with degree of combination and each value equals three, gives (39 test cases) with time duration…mehr

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Produktbeschreibung
This research proposes a new strategy to generate the combinatorial test suite using Cuckoo Search concepts. Cuckoo Search is used for the design and implementation a strategy to construct optimized combinatorial sets. The strategy consists of different algorithms for construction in which they are combined to serve the Cuckoo Search. The new technique proved its efficiency and performance through different experiment sets, and obtained the most optimal size and duration time for five input-factors with degree of combination and each value equals three, gives (39 test cases) with time duration (0.12 second). Also, the effectiveness of the strategy is assessed by applying the generated test suites on a real-world case study for the purpose of functional testing. Results show that the generated test suites can detect faults effectively. Moreover, the strategy opens a new direction for the application of Cuckoo Search in the context of software engineering.
Autorenporträt
Obtained his BSc degree in Electrical Engineering from the Salahaddin University-Erbil 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.