An integer programming approach to item bank design is presented that can be used to calculate an optimal blueprint for an item bank, in order to support an existing testing program. The results are optimal in that they minimize the effort involved in producing the items as revealed by current item writing patterns. Also presented is an adaptation of the models, which can be used as a set of monitoring tools in item bank management. The approach is demonstrated empirically for an item bank that was designed for the Law School Admission Test.
van der Linden, W. J., Veldkamp, B. P., & Reese, L. M. (2000). An integer programming approach to item bank design. Applied psychological measurement, 24(2), 139-150. https://doi.org/10.1177/01466210022031570