DocumentCode
1581737
Title
An Engine-Independent Framework for Business Rules Development
Author
Agaram, Mukundan K. ; Liu, Chang
Author_Institution
Inf. Syst. & Support, Delta Dental of Michigan, Okemos, MI, USA
fYear
2011
Firstpage
75
Lastpage
84
Abstract
There is a compelling need for highly customized Domain Specific Languages and Business Vocabulary in certain industries such as insurance, mortgage, and finance to enable Knowledge Workers to articulate and to automate complex rules pertinent to their areas of function within their companies. Rule Engine vendors attempt to provide a solution to the problem by selling an integrated Rules Engine and Business Rules Management System. Usually, the BRMS´s provided by vendors need to be customized and integrated into the overall Enterprise Architecture. This results in the Enterprise Architecture to be tightly coupled with the vendor´s rule offering. Moreover, it poses a significant risk to the Enterprise as vendor solutions change between releases. The Enterprise Architecture needs a way to insulate itself from such impacts. This paper describes a framework that delivers the core BRMS functions of authoring and representation in a vendor neutral fashion. In addition, the paper sheds light on specific areas of the framework that can be standardized.
Keywords
business data processing; insurance data processing; knowledge based systems; mortgage processing; specification languages; vocabulary; BRMS functions; business rules development; business rules management system; business vocabulary; domain specific languages; engine-independent framework; enterprise architecture; finance; insurance; mortgage; rules engine; Business; Computer architecture; Dentistry; Engines; Production; Syntactics; Vocabulary; Business Rule Components; Business Rules; Business Rules Languages; Business Vocabulary; Domain Specific Languages;
fLanguage
English
Publisher
ieee
Conference_Titel
Enterprise Distributed Object Computing Conference (EDOC), 2011 15th IEEE International
Conference_Location
Helsinki
ISSN
1541-7719
Print_ISBN
978-1-4577-0362-1
Electronic_ISBN
1541-7719
Type
conf
DOI
10.1109/EDOC.2011.20
Filename
6037562
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