Abstract: The invention relates to a method and system for discovering and documenting the business knowledge contained in the functions of each program of existing software applications as expressed in the source code of each program using a novel method of dynamic business rule extraction that overcomes the inherent limitations of previous methods. The novelty of the method results from the deterministic relationship between program functions and the program code executed to perform each function as revealed by empirical analysis of the actual code execution, hence “dynamic” business rule extraction. This compares to previous methods which utilized a manual process, a fully automated process, and/or a process of analysis against the non-executing source code of each programs in which the analyst must infer the execution path, hence “static” business rule extraction. Furthermore, dynamic business rule extraction can deliver results without errors or omissions and document forensically that it has done so.

Abstract: Disclosed is a software device (“Synchronizer”) incorporating functional synchronization and data level synchronization to maintain semantic equivalence between data elements of at least two data stores. The synchronizer may be configured to operate as a pure uni-directional data level synchronizer with data model remapping and business rule validation of the data or as a pure bi-directional functional synchronizer with data remapping and transaction remapping. Additionally, the Synchronizer can operate as a hybrid of data level synchronization occurring below the business logic layer of the program and of functional synchronization occurring in the business logic layer.