Research Article
Reliability Evaluation Method of Online Japanese Teaching Software Based on Bayesian Network
@INPROCEEDINGS{10.1007/978-3-031-50571-3_31, author={Jiayi Sun and Yue Wang and Chao Song}, title={Reliability Evaluation Method of Online Japanese Teaching Software Based on Bayesian Network}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part I}, proceedings_a={ICMTEL}, year={2024}, month={2}, keywords={Bayesian Network Online Japanese teaching software Weight Calculation Reliability Evaluation Entropy Weight Method}, doi={10.1007/978-3-031-50571-3_31} }- Jiayi Sun
Yue Wang
Chao Song
Year: 2024
Reliability Evaluation Method of Online Japanese Teaching Software Based on Bayesian Network
ICMTEL
Springer
DOI: 10.1007/978-3-031-50571-3_31
Abstract
Software reliability is an important factor for evaluating software quality. Therefore, a reliability evaluation method of online Japanese teaching software based on Bayesian network is proposed. This method first constructs an index system for the reliability impact of online Japanese teaching software, then uses the weight factor judgment table method and the entropy weight method to calculate the combined weight of the evaluation index, and finally uses Bayesian network to calculate the reliability probability of online Japanese teaching software, compares the division standards, and obtains the reliability degree of online Japanese teaching software. The results show that the reliability of the three online Japanese teaching software tends to decline with the extension of application time; The reliability is above 0.9, and the reliability degree is the highest; The first software maintains the best reliability, followed by the second, and finally the third.
