Abstract
Efficient automatic grading of programs in computer paperless test system is a hotspot in current research. In allusion to the deficiency of scoring computer language in current test system, a kind of machine scoring algorithm that combines static semantic understanding analysis with runtime dynamic analysis is proposed. In order to achieve a reasonable scoring purpose, the scoring function is constructed based on the weighted average method and its function mapping is determined by BP neural network. The experiment result indicates that the effect of this new scoring algorithm is close to the effect of artificial scoring method.
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Acknowledgment
The authors would like to thank the anonymous reviewers for their helpful and constructive comments. This work is supported by education reform Item of Hunan Normal University (Grant no [2011]75, [2014]85-39),and supported by program for excellent talents in Hunan Normal University (No.ET61008).d
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Liu, TL., Tang, WS., Wang, SC., Qin, J. (2015). A New Algorithm of Automatic Grading in Computer Paperless Test System. In: Huang, DS., Han, K. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2015. Lecture Notes in Computer Science(), vol 9227. Springer, Cham. https://doi.org/10.1007/978-3-319-22053-6_43
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DOI: https://doi.org/10.1007/978-3-319-22053-6_43
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