Title :
A New Metric Model for Trustworthiness of Softwares
Author :
Tao, Hongwei ; Chen, Yixiang
Author_Institution :
Shanghai Key Lab. of Trustworthy Comput., East China Normal Univ., Shanghai, China
Abstract :
As people depend more and more on softwares, there has been an increasing demand for the trustworthiness of the software. To measure the trustworthiness of software, we need to design appropriate trustworthy metrics. We once proposed four metric criteria for the multi-dimensional trustworthiness of the software and a metric model which satisfies these four criteria. In this paper, we describe a new metric model for the trustworthiness of the software which satisfies almost all these four criteria. Compared with the previous model, this model is better in the view of substitutivity. We also give a polynomial-time combinational algorithm for estimating the weight vectors appeared in the model based on the priority methods.
Keywords :
computational complexity; security of data; software metrics; polynomial-time combinational algorithm; softwares trustworthiness; trustworthy metric model; Character recognition; Computational efficiency; Computer networks; Handwriting recognition; Inference algorithms; Network topology; Neural networks; Optimization methods; Recurrent neural networks; Wind speed;
Conference_Titel :
Information Science and Applications (ICISA), 2010 International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5941-4
Electronic_ISBN :
978-1-4244-5943-8
DOI :
10.1109/ICISA.2010.5480398