关键词：多维数据模型；决策支持软件；测试数据
摘 要：Multidimensional data models form the core of modern decision support software. Yet real multidimensional instances are often unavailable for testing and benchmarking, and existing data generators can only produce a limited class of such structures. In this paper, we present a new framework for scalable generation of test data from a rich class of multidimensional models. The framework provides a small,expressive language for specifying such models, and a novel solver for generating sample data from them.