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Large Scale Software Fault Prediction Model Based on Dynamic Network Analysis Theory
and Visual Interface Implementation |
Hu Xiaoye |
Department of Equipment & Laboratory Mannagement |
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Abstract This thesis maps the method call relation to a dynamic network, extracts the hierarchical structure and core vertices of
the original network based on K-core decomposition, analyzes the dynamic network by 2 norm of the matrix theory, considers the
characteristics of the monitoring data and the change of software status. We design a real-time updated visual interface. It achieves
good experimental results to verify the validity of the prediction model, and gives the further expansion of this model.
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Published: 09 November 2017
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