A Data Mining Based Measurement Method for Software Trustworthiness

This paper presents a method which applies software trustworthiness measures to the dynamic behavior feature datasets generated at software running time compared with the static attribute feature datasets generated at software testing time in order to 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 the trustworthiness concept hierarchies to evaluate software trustworthiness.