The scale and complexity of software systems are constantly increasing, imposing new challenges for software fault location and\ndaily maintenance. In this paper, the Security Feature measurement algorithm of Frequent dynamic execution Paths in Software,\nSFFPS, is proposed to provide a basis for improving the security and reliability of software. First, the dynamic execution of a\ncomplex software system is mapped onto a complex network model and sequence model.This, combined with the invocation and\ndependency relationships between function nodes, fault cumulative effect, and spread effect, can be analyzed. The function node\nsecurity features of the software complex network are defined and measured according to the degree distribution and global step\nattenuation factor. Finally, frequent software execution paths are mined and weighted, and security metrics of the frequent paths\nare obtained and sorted. The experimental results show that SFFPS has good time performance and scalability, and the security\nfeatures of the important paths in the software can be effectively measured. This study provides a guide for the research of defect\npropagation, software reliability, and software integration testing
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