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A New Method for Abnormal Behavior Propagation in Networked Software

Cheng Peng,
Ming Liu,
Xin-Pan Yuan,
Long-Xin Zhang,
Jun-Feng Man,

Abstract


In general, bugs in software are inevitable. The study on the abnormal behavior propagation mechanism trigged by bugs in networked software provides the way for people to grasp the execution rule and to adopt corresponding pinning measurements. Based on the situation of abnormal behavior propagation at different granularity software entities, three factors - propagation probability, interactive frequency and connection rate which affects the abnormal behavior propagation, are proposed, and corresponding definition and computation method are also investigated. The process model for abnormal behavior propagation is constructed in reference to the compartment model, individual models and three factors mentioned above, which improves the expression ability of model and enhances its completeness and accuracy. Then, the analytical method for abnormal behavior propagation is applied to the online electronic shopping system, and the results testify the correctness and feasibility of the propagation mechanism.

Citation Format:
Cheng Peng, Ming Liu, Xin-Pan Yuan, Long-Xin Zhang, Jun-Feng Man, "A New Method for Abnormal Behavior Propagation in Networked Software," Journal of Internet Technology, vol. 19, no. 2 , pp. 489-498, Mar. 2018.

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Published by Executive Committee, Taiwan Academic Network, Ministry of Education, Taipei, Taiwan, R.O.C
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