Authors
Caleb King (1), Ryan Lekivetz (1), William Fisher (1), and Joseph Morgan (1).
Affiliations
(1) JMP Statistical Discovery LLC
Journal
Quality and Reliability Engineering International
Date Published
2026
Abstract
Experimental designs are powerful combinatorial objects that allow users to investigate challenging problems with limited resources. Assessing an experimental design often involves evaluating how well it covers the design space, along with other considerations. In this paper, we propose a new method to aid in visualizing a multi‐dimensional design space. This method, combined with relevant design metrics, can help users assess the coverage of a design and make adjustments to the design to balance coverage needs relative to other metrics. In addition, the method can be used when analyzing outcomes to help identify key factors and highlight areas for further exploration. We illustrate the use of the visualization method in three application areas as well as discuss future extensions and other areas of potential application.
Citation
King, C., Lekivetz, R., Fisher, W. and Morgan, J., 2026. Design Fractals: A New Visual Aid for Assessing Design Coverage and Augmentation. Quality and Reliability Engineering International, 42(1), pp.93-101, https://doi.org/10.1002/qre.70088.