Data reengineering for application systems

Data reengineering methods and tools are discussed, with an emphasis on data definition engineering. Data reengineering extends the life of existing systems by standardizing data definitions and facilitating source code simplification. It can also provide an accurate data model for use as a starting point in data modeling and database technology migration and as a preparation step for reverse engineering. Data definition and data value problems are discussed. Data reengineering is compared with data engineering, highlighting the ways in which they differ. The following data reengineering phases are described: code analysis, data analysis, metadata synthesis, redesign, revision and definition exportation. Three data definition reengineering cases are discussed.<
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