Business rules extraction from large legacy systems

Business rules are a set of conditional operations attached to a given data result. On legacy systems, it is very difficult to extract business rules because of the inconsistency of documentation. Some techniques have been presented for extracting business rules from legacy systems. But usefulness o...

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Bibliographic Details
Main Authors: Xinyu Wang, Jianling Sun, Xiaohu Yang, Zhijun He, Maddineni, S.
Format: Conference Proceeding
Language:English
Subjects:
Software maintenance
Online Access:Request full text
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Summary:Business rules are a set of conditional operations attached to a given data result. On legacy systems, it is very difficult to extract business rules because of the inconsistency of documentation. Some techniques have been presented for extracting business rules from legacy systems. But usefulness of these methods is limited when they are applied to large complex legacy systems. Generally, large legacy systems involve large amount of code, domain variables, synonym variables and business rules, which make it more difficult to extract business rules. This paper proposes a framework, which offers distinct advantages over normal extraction solutions for large legacv systems. This framework consists of five steps: slicing program, identifying domain variables, data analysis, presenting business rules, and business validation. It has been applied to a large complex financial legacy system which has proved to be successful.
ISSN:1534-5351
2640-7574
DOI:10.1109/CSMR.2004.1281426