CEUR Workshop Proceedings
Goal models help stakeholders understand project scenarios and make decisions. In prior work, we used Tropos evaluation semantics to allow for automated analysis over time; however, formal evaluation labels (e.g., (F, ⊥)) are difficult for users to interpret across a large model. In this paper, we present our work towards understanding the extent to which using colors in goal modeling affects users’ ability to make decisions. Specifically, we are interested in studying if coloring intentions with evaluation information allows for better comparisons of initial states and simulations of future paths. To address this question, we developed a color visualization extension to BloomingLeaf, a goal model analysis tool, where the color of each node is changed based on either the initial evaluations or the resulting analysis over time. This then allows us to explore if and how color visualization assists the user with decision making. We present our implementation and initial evaluation of this extension.
© The Authors
Varnum, Megan H.; Spencer, Kate M.B.; and Grubb, Alicia M., "Towards an Evaluation Visualization with Color" (2020). Computer Science: Faculty Publications, Smith College, Northampton, MA.