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Article

New Service Virtualisation Approach to Generate the Categorical Fields in the Service Response

Faculty of Science, Engineering and Technology, School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC 3122, Australia
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Sensors 2020, 20(23), 6776; https://doi.org/10.3390/s20236776
Received: 14 October 2020 / Revised: 19 November 2020 / Accepted: 25 November 2020 / Published: 27 November 2020
(This article belongs to the Special Issue Computational Intelligence and Intelligent Contents (CIIC))
Software services communicate with different requisite services over the computer network to accomplish their tasks. The requisite services may not be readily available to test a specific service. Thus, service virtualisation has been proposed as an industry solution to ensure availability of the interactive behaviour of the requisite services. However, the existing techniques of virtualisation cannot satisfy the required accuracy or time constraints to keep up with the competitive business world. These constraints sacrifices quality and testing coverage, thereby delaying the delivery of software. We proposed a novel technique to improve the accuracy of the existing service virtualisation solutions without sacrificing time. This method generates the service response and predicts categorical fields in virtualised responses, extending existing research with lower complexity and higher accuracy. The proposed service virtualisation approach uses conditional entropy to identify the fields that can be used to drive the value of each categorical field based on the historical messages. Then, it uses joint probability distribution to find the best values for the categorical fields. The experimental evaluation illustrates that the proposed approach can generate responses with the required fields and accurate values for categorical fields over four data sets with stateful nature. View Full-Text
Keywords: service virtualisation; categorical fields; quality assurance; conditional entropy; joint probability distribution service virtualisation; categorical fields; quality assurance; conditional entropy; joint probability distribution
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MDPI and ACS Style

Farahmandpour, Z.; Seyedmahmoudian, M.; Stojcevski, A. New Service Virtualisation Approach to Generate the Categorical Fields in the Service Response. Sensors 2020, 20, 6776. https://doi.org/10.3390/s20236776

AMA Style

Farahmandpour Z, Seyedmahmoudian M, Stojcevski A. New Service Virtualisation Approach to Generate the Categorical Fields in the Service Response. Sensors. 2020; 20(23):6776. https://doi.org/10.3390/s20236776

Chicago/Turabian Style

Farahmandpour, Zeinab, Mehdi Seyedmahmoudian, and Alex Stojcevski. 2020. "New Service Virtualisation Approach to Generate the Categorical Fields in the Service Response" Sensors 20, no. 23: 6776. https://doi.org/10.3390/s20236776

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