Research on visual analysis method of software function testing process

Zihuan Zuo; Yadong Wu; Yuansong Chen; Xiaorong Zhang; Renchao Qin

doi:10.1117/12.2631158

18 March 2022 Research on visual analysis method of software function testing process

Zihuan Zuo, Yadong Wu, Yuansong Chen, Xiaorong Zhang, Renchao Qin

Author Affiliations +

Proceedings Volume 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021); 121680Q (2022) https://doi.org/10.1117/12.2631158
Event: International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 2021, Harbin, China

Abstract

The existing research on software testing visualization is mostly at the code and developer level, and the visualization content is mostly at the code line and document level, and the target user group is very limited. In addition, the thirdparty software evaluation agency involves a large number of paper documents in the testing and review, which is inconvenient to manage, difficult to consult and analyze, and work efficiency is low. In order to solve these problems, we propose a visual analysis framework for software functional testing process. Starting from the functional testing process and the key information of each process, a set of visual analysis process is constructed, the data extraction method of the test document and the visual analysis method of the test process are studied, and the visual analysis prototype system is constructed to support the software testing process. And the key information of each process for quick analysis and further exploration. Finally, we demonstrated the application of the system in actual test projects through case analysis.

Citation Download Citation

Zihuan Zuo, Yadong Wu, Yuansong Chen, Xiaorong Zhang, and Renchao Qin "Research on visual analysis method of software function testing process", Proc. SPIE 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 121680Q (18 March 2022); https://doi.org/10.1117/12.2631158

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KEYWORDS

Visualization

Visual analytics

Analytical research

Data processing

Human-machine interfaces

Information visualization

Software development

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