Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

An Approach Assessing Software Trustworthiness

Authors
Xinglong Xie, Weixian Xue
Corresponding Author
Xinglong Xie
Available Online February 2018.
DOI
10.2991/csece-18.2018.114How to use a DOI?
Keywords
trustworthiness measure; trustworthiness indicator; positive (negative) ideal value; trapezoidal fuzzy number; grey correlation analysis
Abstract

This paper is aimed at presenting a technique appraising software trustworthiness grounded on Grey correlation analysis, which performs calculating of the weight for each index by virtue of trapezoidal fuzzy number. This paper initially works out at positive and negative ideal values for trustworthiness indicators, whereby to figure out the Grey correlation degree concerning the index value and the ideal value whereof. Grounded on this, the paper estimates the value for software trustworthiness and the empirical evidence reveals that the specified methodology is of validity and accuracy. Hence, this technique can be applied into more studies on software trustworthiness.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
Series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
10.2991/csece-18.2018.114
ISSN
2352-538X
DOI
10.2991/csece-18.2018.114How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xinglong Xie
AU  - Weixian Xue
PY  - 2018/02
DA  - 2018/02
TI  - An Approach Assessing Software Trustworthiness
BT  - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SP  - 522
EP  - 526
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.114
DO  - 10.2991/csece-18.2018.114
ID  - Xie2018/02
ER  -