Reverse Engineering of Data

Abstract

Interest in reverse engineering is growing as organizations attempt to reengineer existing systems instead of replacing them.  When a system is reverse engineered, it is examined, documented, modeled, analyzed, and understood in order to better inform subsequent efforts.  Of additional value, the reverse engineering analysis outputs can be reused as a source of enterprise architecture components.  Since successful systems reengineering (SR) depends on effective reverse engineering, it (reverse engineering) is viewed as a critical part of SR.

Reference

Aiken, P.H., Reverse Engineering of Data. IBM Systems Journal, 1998. 37(2): p. 246-269. Publisher: IBM Corp. (ACM Pg. 2)

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