A Software Supply Chain Reliability Analysis Framework Based on Fuzzy Fault Tree-Dependent Bayesian Model

With the rapid development of the software industry, the software supply chain is becoming more and more complex, which increases the maintenance difficulty of software Supply chain security security. The traditional software reliability fault diagnosis and modeling methods can no longer meet the needs of the industry development. This article takes into account the complexity of the software supply chain, the severity level of failure states of influencing factors, and the randomness of influencing factors, and constructs a software supply chain reliability analysis framework using fuzzy fault tree and dependent Bayesian model. The framework focuses on three aspects: software source code, technical base and supply chain management, summarizes the impact factors of software supply chain reliability, and establishes a fault tree model. Then T-S fuzzy method is introduced to define the fault state of the influence factor and calculate the fault probability of each node. Finally, the fault tree model is equivalent to the dependent Bayesian network, which describes the connection relationship between nodes and forms the fault diagnosis network model. When a node fault result is given, the influencing factors and probabilities that affect the result can be inferred, thereby completing top-down fault diagnosis.