Goal-oriented analysis techniques analyzes goal models in order to help analysts making decisions about the system to be developed. These analyses can, for example, identify conflicts of interest among stakeholders or prioritize their goals. Although many techniques of this type have been proposed, the vast majority of them focus on the concept of satisfaction, resulting in a value-neutral approach. This means that all the elements in a goal model (e.g., stakeholders’ goals) are considered to be equally important. Moreover, almost all these techniques use either a qualitative or a quantitative approach to assign weight or importance to the elements in a goal model.

This paper presents a tool that provides technical support to a goal-oriented analysis technique that uses the concept of value (thereby considering that not all intentional elements are equally important). The technique uses fuzzy logic to combine a qualitative prioritization of individual intentional elements with a quantitative systematic propagation of the relationships among these intentional elements by means of Fuzzy Multi-Criteria Decision-Making (FMCDM). This propagation calculates how valuable each intentional element of a goal model is with respect to the other elements of the model.