We implemented in AutoFOCUS the approached proposed by Duan et al., which computes the belief, disbelief and uncertainty of a GSN-argument based on the safety defeaters. A safety defeater is anything that can reduce the confidence on the argument, such as, a software bug.
Consider the GSN-argument depicted in the figure above. It contains a main hazard which is broken down into two hazard sub-goals. Each GSN goal is annotated with the number of defeaters outruled and the total number of defeaters. In the tool, this is shown by the pair of numbers on the top left corner of GSN goals. For example, the top goal in the figure above is annotated with 15/29 denoting that 15 out of 29 safety defeaters have been outruled. Users can only enter these numbers for the leaf goals by editing their property sections, as illustrated by the figure below. Moreover, a weight is associated to all GSN nodes denoting the importance of these goal. From this data on the leaves of the GSN tree, the values of outruled and total defeaters for the remaining GSN nodes is computed by a weight sum.
Intuitively, the greater the total number of defeaters, the lower the uncertainty is. Moreover, the greater the number of outruled defeaters the greater the belief on the GSN-argument and the lower the disbelief. The exact values for belief, disbelief and uncertainty can be computed from the values of outruled and total number of defeaters. We refer to the work Duan et al. on how exactly these values are computed.
The belief, disbelief and uncertainty for the top most goal of GSN depicted in the figure above is shown by simply hovering the mouse over the goal as illustrated by the figure below. It is also available in the property section of the node. Moreover, the color of the numbers shown in the goal reflect the level of confidence. Red colors indicating a higher disbelief, while a green color a higher belief.