Journal of East China Normal University(Natural Science) >

2022 , Vol. 2022 >Issue 4: 43 - 55

DOI: https://doi.org/10.3969/j.issn.1000-5641.2022.04.005

Computer Science

Redundancy measurement and reduction of automated tests in financial technology

  • Xin GONG ,
  • Lihua XU ,
  • Liang DOU ,
  • Ruixiang ZHAO
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  • 1. School of Computer Science and Technology, East China Normal University, Shanghai　200062, China
    2. Engineering and Computer Science Department, New York University Shanghai, Shanghai　200122, China
    3. China Foreign Exchange Trade System (CFETS) Information Technology (Shanghai) Co. Ltd., Shanghai　201203, China

Received date: 2021-01-07

  Online published: 2022-07-19

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Abstract

With the development and iteration of financial technology(FinTech) software programs, the size of test suites will gradually increase, which may introduce inherent redundancy. In order to effectively quantify test redundancy, a test redundancy evaluation metric called MVI (Most Valuable Item) is proposed in this study. To verify the validity of the MVI metric, the MVIR (Most Valuable Item Reduction) test case reduction algorithm is proposed. Experimental results show that the MVIR can achieve a test case reduction ratio of more than 89.88% assuming the test performance loss is less than 9.20%, this demonstrates that the MVI metric is valid.

Key words： financial technology; software testing; test redundancy; test generation; test minimization

Cite this article

Xin GONG, Lihua XU, Liang DOU, Ruixiang ZHAO. Redundancy measurement and reduction of automated tests in financial technology[J]. Journal of East China Normal University(Natural Science), 2022, 2022(4): 43-55. DOI: 10.3969/j.issn.1000-5641.2022.04.005

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