Adopting bees algorithm for sequence-based t-way test data generation

Mohd Hazli Mohamed Zabil, Kamal Z. Zamli

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)929-933
Number of pages5
JournalICIC Express Letters
Volume7
Issue number3 B
Publication statusPublished - 2013

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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