Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation
Many interaction test data generation strategies (termed t-way strategies) have been developed over the past fifteen years. Despite being very useful, those strategies have assumed sequence-less interaction among the input-values. In this paper, we studied recent works in generating test data for se...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
ICIC International
2013
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/6908/ http://umpir.ump.edu.my/id/eprint/6908/ http://umpir.ump.edu.my/id/eprint/6908/2/ICICIC2012-771-hazli-zamli.PDF |
| Summary: | Many interaction test data generation strategies (termed t-way strategies) have been developed over the past fifteen years. Despite being very useful, those strategies have assumed sequence-less interaction among the input-values. In this paper, we studied recent works in generating test data for sequence-based t-way. We then proposed a new approach for generating sequence-based t-way, to overcome the unsupported features of the existing strategies as well as to complement the existing sequence-less t-way strategies. Using combinatorial method, our strategy adopted Bees Algorithm (BA) to generate the test data for sequence t-way. Benchmarking results show that our strategy is comparable, and produces better results in some scenarios. BA is the first bio-inspired AI strategy for sequence t-way. |
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