Architecture-Oriented Comprehensive Risk Priority Number Calculation Method

Abstract

The invention provides a comprehensive risk priority number calculating method for architecture. Three risk factors (the appearance frequency, the severity degree and the discovery index) in FMEA are evaluated in the mode that fuzzy numbers are utilized in software architecture in a leveled mode; the appearance frequency and the discovery index are determined through component complexity and expertise, and the weights of different risk factors are distinguished through the conception of information entropy; through the conceptions of a positive ideal solution and a negative ideal solution in a TOPSIS method, a more reasonable and accurate risk priority number rank is obtained; in this way, a comprehensive software-failing mode risk factor evaluation technology for the architecture is achieved. By means of the comprehensive risk priority number calculating method, at the initial software design stage, developers are helped to find out potential design defects in a system, and therefore the subsequent software development quality is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of reliability engineering, in particular to the field of software architecture credibility analysis, and specifically relates to a failure mode and influence analysis method and a fuzzy computing theory. Background technique [0002] Among many trustworthy attributes, security is particularly important for the quality of software systems. FMEA, as an important security analysis method, has been paid more and more attention by people. The history of FMEA can be traced back to the late 1940s. In 1949, the US military first proposed the concept of FMEA in an article called "Procedure for performing afailure mode, effects and analysis". By the early 1960s, NASA was applying FMEA to aerospace engineering and first used FMEA on the Apollo missions. Since then, FMEA has developed into an effective method for providing failure information for risk management. However, the traditional FMEA method has two main pro...

AI Technical Summary

Problems solved by technology

The present invention utilizes the software architecture description language aimed at the network environment, adopts an evaluation method combining component complexity and expert experience to determine the occurrence frequency and detection index of the failure mode; through the fusion of subjective and objective information , the evaluation results are more accurate and credible than before; at the same time, the results of the three risk factors are expressed by triangular fuzzy numbers in fuzzy theory, which better avoids the problem of inaccurate subjective semantic description boundaries

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