DocumentCode :
1657645
Title :
A decision making methodology in support of the business rules lifecycle
Author :
Rosca, Daniela ; Greenspan, Steven ; Feblowitz, M. ; Wild, Chris
Author_Institution :
Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA, USA
fYear :
1997
Firstpage :
236
Lastpage :
246
Abstract :
The business rules that underlie an enterprise emerge as a new category of system requirements that represent decisions about how to run the business, and which are characterized by their business-orientation and their propensity for change. We introduce a decision making methodology which addresses several aspects of the business rules lifecycle: acquisition, deployment and evolution. We describe a meta-model for representing business rules in terms of an enterprise model, and also a decision support sub-model for reasoning about and deriving the rules. A technique for automatically extracting business rules from the decision structure is described and illustrated using business rules examples inspired by the London Ambulance Service case study. A system based on the metamodel has been implemented, including the extraction algorithm
Keywords :
business data processing; corporate modelling; decision support systems; emergency services; formal specification; inference mechanisms; knowledge representation; London Ambulance Service; business rule representation; business rules lifecycle; case study; decision making methodology; enterprise; enterprise model; metamodel; reasoning; system requirements; Computer science; Costs; Databases; Decision making; Force control; Investments; Laboratories; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Requirements Engineering, 1997., Proceedings of the Third IEEE International Symposium on
Conference_Location :
Annapolis, MD
Print_ISBN :
0-8186-7740-6
Type :
conf
DOI :
10.1109/ISRE.1997.566874
Filename :
566874
Link To Document :
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