Abstract:

In order to support dynamic and multiattribute characteristics in software trustworthiness evaluation, a method was proposed with the grey number and the Minkowski distance function and fuzzy clustering algorithm. Firstly, trustworthy indicators are represented by gray numbers, and the ideal trustworthy indicators are calculated from the positive and negative ideal points. Secondly, the trustworthiness for each evaluation period is computed through the weighted grey number Minkowski distance function. Finally, the fuzzy clustering algorithm is adopted to aggregate the evaluations from each period. Experimental results and analysis show that the proposed method is effective and high accuracy, and does not cause more computational burden.

Key words: software trustworthiness evaluation;dynamic;gray number；positive and negative ideal point;Minkowski distance;fuzzy clustering algorithm