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Design and Implementation of Open Source Online Evaluation System Based on Cloud Platform

Zuwei Tian*, Shubo Tian, Tuo Wang, Zhen Gong, Zhenqin Jiang

College of Information Science and Engineering, Hunan First Normal University, Changsha, 410205, China

* Corresponding Author: Zuwei Tian. Email: email

Journal on Big Data 2020, 2(3), 117-123. https://doi.org/10.32604/jbd.2020.011420

Abstract

In order to provide a good practice platform for the program design contestants and algorithm enthusiasts, this paper designs and implements a programming online evaluation system based on cloud platform, which is a web system that can return the test results of the program source codes submitted by users in real time. It realizes the automatic evaluation of the program design training questions. The system is implemented by the way of front-end and backend separation and modular programming. The front-end of the web is implemented by Vue framework, the back-end is implemented by Django framework. The judgment core is written in C language for the sake of improving the efficiency of the system. Sandbox technology is used to ensure the security of the judgment system. Experimental results show that the system can meet the need of daily teaching and competition.

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APA Style
Tian, Z., Tian, S., Wang, T., Gong, Z., Jiang, Z. (2020). Design and implementation of open source online evaluation system based on cloud platform. Journal on Big Data, 2(3), 117-123. https://doi.org/10.32604/jbd.2020.011420
Vancouver Style
Tian Z, Tian S, Wang T, Gong Z, Jiang Z. Design and implementation of open source online evaluation system based on cloud platform. J Big Data . 2020;2(3):117-123 https://doi.org/10.32604/jbd.2020.011420
IEEE Style
Z. Tian, S. Tian, T. Wang, Z. Gong, and Z. Jiang, “Design and Implementation of Open Source Online Evaluation System Based on Cloud Platform,” J. Big Data , vol. 2, no. 3, pp. 117-123, 2020. https://doi.org/10.32604/jbd.2020.011420



cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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