Data Modeling and Stimulus Generation

Summary

Data is either generated in the verification environment or collected from the physical data extracted from the DUV. This chapter described the structure of a data model and how physical, subtype determinant, and utility fields are used to model and manage a data object. Packing was described in this chapter as a means of translating a data object into a bit stream so that it could drive physical DUV ports. Unpacking was described as the means to populate data structure fields from serial data collected from the DUV. Special techniques for enhancing the definition of a data model were introduced in order to simplify constraint definition when a data model is being used in a verification environment.

Chapter 8 discusses how sequences of data items are generated to form special verification scenarios. Building of a verification environment is discussed in chapter 11.