31st IEEE International Requirements Engineering Conference (RE)
Supplemental material for the research paper entitled, "Visualizations for User-supported State Space Exploration of Goal Models". This paper presents a technique for valuation-based filtering and coloring to assist users in understanding a solution space and selecting custom states from it. This supplement contains the data from our initial evaluation and associated models.
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Baatartogtokh, Yesugen; Foster, Irene; and Grubb, Alicia M., "Visualizations for User-supported State Space Exploration of Goal Models: Supplemental Material" (2023). Computer Science: Faculty Publications, Smith College, Northampton, MA.