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Erschienen in:
2018 | OriginalPaper | Buchkapitel
A Novel Swarm Intelligence Based Sequence Generator
verfasst von : Khandakar Rabbi, Quazi Mamun, Md. Rafiqul Islam
Erschienen in: International Conference on Applications and Techniques in Cyber Security and Intelligence
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Abstract
The order of input is an important reason for a fault to take place. Most specifically, in the even driven software where multiple events run one after another and action of one event depends on another one. In such a system, a fault is usually identified on a state when some events have already been occurred. To identify this fault, a sequence covering array is created ensuring that a sequence of a required t-way or pairwise (interaction) events are covered. However, generation of optimum sequences appeared to be a NP-hard problem. In the paper, we adopted swarm intelligence to generate the sequence covering array and a novel technique known as SISEQ is proposed. In the end, the SISEQ is compared with other technique. Finally, the analysis section shows that our technique is more acceptable.