A Software Behavior Trustworthiness Measurement Method based on Data Mining

DOI

10.2991/ijcis.2011.4.5.8How to use a DOI?

Abstract

This paper presents a congruence measurement method by partitions to apply software trustworthiness measures in dynamic behavior feature datasets. The datasets are generated at software running time. And the method compares the datasets with the static attribute feature datasets generated at software testing time. So this method can make recommendations for users in services selection time under the environment of SaaS. The measurement method is carried out in three stages: firstly, defining the concept of trust, software trustworthiness, static and dynamic feature datasets with fundamental calculating criteria; secondly, providing a group of formulas to illustrate congruence measurement approach for comparing the two types of feature datasets; lastly, giving an architecture supported by software trustworthiness measurement algorithm to evaluate conceptualized hierarchical software trustworthiness.

Copyright

© 2011, 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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TY  - JOUR
AU  - Yuyu Yuan
AU  - Qiang Han
PY  - 2011
DA  - 2011/09/01
TI  - A Software Behavior Trustworthiness Measurement Method based on Data Mining
JO  - International Journal of Computational Intelligence Systems
SP  - 817
EP  - 825
VL  - 4
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.5.8
DO  - 10.2991/ijcis.2011.4.5.8
ID  - Yuan2011
ER  -