Multi-model synthesis dynamic prediction of software reliability based on inclusion degree theory
基于包含度理论的软件可靠性多模型综合动态预计

Different reliability models result in different reliability predictions for the same software, and failed process of the same software could not be described using a single model in software reliability project. Concerning these problems, a multi-model synthesis dynamic prediction method for software reliability based on inclusion degree theory was proposed. The definition of attribute importance degree based on inclusion degree theory and a select method of inclusion degree function were presented. Then the process of multi-model synthesis dynamic prediction for software reliability was put forward. This method integrates the strong points of various models and makes in-homogeneity model compensating each other through dynamic changing their weights, which can solve the practical problems in software engineering. A case study was done to demonstrate the feasibility of this method.