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A preliminary study of automatic generation of credibility test cases based on immune algorithm

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Abstract

As a part of software non-functional testing, credibility testing is an important means to ensure the quality of software. However, there are few researches on the credibility testing method at present. In this paper, a new method of generating Credibility test cases is proposed based on immune algorithm. By mining trustworthy requirements and combining with immune algorithm, a test case population is generated. Based on the result of test case, the Application Behavior Declaration is improved and a test case library is established. The conclusion proves that the trustworthy test cases based on immune algorithm can cover the credibility requirements and improve the testing efficiency.

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Authors and Affiliations

  1. Department of Information, Beijing University of Technology, Beijing, 100124, China

    Xuejun Yu & Jing Wang

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  1. Xuejun Yu
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  2. Jing Wang
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Correspondence to Jing Wang.

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Yu, X., Wang, J. A preliminary study of automatic generation of credibility test cases based on immune algorithm. Cluster Comput 22 (Suppl 6), 14867–14875 (2019). https://doi.org/10.1007/s10586-018-2427-1

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  • DOI: https://doi.org/10.1007/s10586-018-2427-1

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