BUSINESS KNOWLEDGE EXTRACTION FROM LEGACY INFORMATION SYSTEMS

Authors

  • Bronius Paradauskas Kaunas University of Technology
  • Aurimas Laurikaitis Kaunas University of Technology

DOI:

https://doi.org/10.5755/j01.itc.35.3.11772

Abstract

This article discusses the process of enterprise knowledge extraction from relational database and source code of legacy information systems. Problems of legacy systems and main solutions for them are briefly described here. The uses of data reverse engineering and program understanding techniques to automatically infer as much as possible the schema and semantics of a legacy information system is analyzed. Eight step data reverse engineering algorithm for knowledge extraction from legacy systems is provided. A hypothetical example of knowledge extraction from legacy information system is presented.

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Published

2006-09-22

Issue

Section

Articles