Paper
3 October 2022 Third party testing and evaluation of 3D geometric modeling kernels
Dingcong Lu, Lei Wu, Wu Liu, Chunhui Yang
Author Affiliations +
Proceedings Volume 12290, International Conference on Computer Network Security and Software Engineering (CNSSE 2022); 122900E (2022) https://doi.org/10.1117/12.2640709
Event: International Conference on Computer Network Security and Software Engineering (CNSSE 2022), 2022, Zhuhai, China
Abstract
As an effective method for the fusion of the digital economy and the real economy, the 3d geometric modeling kernel has received extensive attentions in various fields recently. However, under the rapid development, the safety and quality problems of modeling kernel are constantly occurring, which brings bad user experience to application software developer. Therefore, based on analyzing the specific requirements of modeling kernel function at different modules, we propose a third party test and evaluation method for 3d geometric modeling kernel, which could test and quantify the code security, interface completeness, functional and performance quality level of 3d geometric modeling kernel, so as to assist correct and effective decision-making. Finally, the rationality of 3d geometric modeling kernel test and evaluation method is verified by testing a open source kernel.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dingcong Lu, Lei Wu, Wu Liu, and Chunhui Yang "Third party testing and evaluation of 3D geometric modeling kernels", Proc. SPIE 12290, International Conference on Computer Network Security and Software Engineering (CNSSE 2022), 122900E (3 October 2022); https://doi.org/10.1117/12.2640709
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KEYWORDS
3D modeling

Data modeling

Solid modeling

Computer aided design

Performance modeling

Software development

Interfaces

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