Abstract
Regarding the problem on ignoring the mutual influence between trustworthy attributes in software trustworthy evaluation process, first, the relation between trustworthy attributes is qualitatively divided into promotion, inhibition, and no effect on the three. Second, combined with users' expectation, a software trustworthy evaluation model based on back propagation (BP) network is proposed, and qualitative relation between software attributes carries out quantitative conversion and obtains differences in degree of different software attribute effect software trustworthiness. Finally, this paper uses a web software case to verify the validity and rationality of the proposed model. The results show that the proposed model can be more accurate and comprehensive in software trustworthy evaluation.
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