Introduction to "Rule Transformation and Extraction" Track
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
A methodology for database reengineering to web services
ECMDA-FA'06 Proceedings of the Second European conference on Model Driven Architecture: foundations and Applications
A family of case studies on business process mining using MARBLE
Journal of Systems and Software
A case study on business process recovery using an e-government system
Software—Practice & Experience
Making sense of healthcare benefits
Proceedings of the 34th International Conference on Software Engineering
Identifying business rules to legacy systems reengineering based on BPM and SOA
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
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Business rules are a set of conditional operationsattached to a given data result. On legacy systems, it isvery difficult to extract business rules because of theinconsistency of documentation. Some techniques havebeen presented for extracting business rules from legacysystems. But usefulness of these methods is limited whenthey are applied to large complex legacy systems.Generally, large legacy systems involve large amount ofcode, domain variables, synonym variables and businessrules, which make it more difficult to extract businessrules. This paper proposes a framework, which offersdistinct advantages over normal extraction solutions forlarge legacy systems. This framework consists of fivesteps: slicing program, identifying domain variables, dataanalysis, presenting business rules, and businessvalidation. It has been applied to a large complexfinancial legacy system which has proved to be successful.