Abstract
Security testing is a key technology for software security. The testing results can reflect the relationship between software testing and software security, and they can help program designers for evaluating and improving software security. However, it is difficult to describe by mathematics the relationship between the results of software functional testing and software nonfunctional security indexes. In this paper, we propose a mathematics model (MSMAM) based on principal component analysis and multiattribute utility theory. This model can get nonfunctional security indexes by analyzing quantized results of functional tests. It can also evaluate software security and guide the effective allocation of testing resources in the process of software testing. The feasibility and effectiveness of MSMAM is verified by experiments.
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