%0 Journal Article %1 566874 %A Rosca, D. %A Greenspan, S. %A Feblowitz, M. %A Wild, C. %D 1997 %J Requirements Engineering, 1997., Proceedings of the Third IEEE International Symposium on %K Ambulance London business case corporate data decision emergency enterprise formal inference knowledge lifecycle making mechanism metamodel methodology model modeling processing reasoning representation requirements rules service specification study support systems %P 236-246 %R 10.1109/ISRE.1997.566874 %T A decision making methodology in support of the business rules lifecycle %U http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=566874&isnumber=12313 %X 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

@article{566874, 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}, added-at = {2009-01-23T17:20:20.000+0100}, author = {Rosca, D. and Greenspan, S. and Feblowitz, M. and Wild, C.}, biburl = {https://www.bibsonomy.org/bibtex/2fbce2cd7f268623daf8e3e4ac9c7fc07/cschie}, doi = {10.1109/ISRE.1997.566874}, interhash = {44e4647edf67d57def28b26b242941b5}, intrahash = {fbce2cd7f268623daf8e3e4ac9c7fc07}, journal = {Requirements Engineering, 1997., Proceedings of the Third IEEE International Symposium on}, keywords = {Ambulance London business case corporate data decision emergency enterprise formal inference knowledge lifecycle making mechanism metamodel methodology model modeling processing reasoning representation requirements rules service specification study support systems}, month = Jan, pages = {236-246}, timestamp = {2009-03-02T18:05:15.000+0100}, title = {A decision making methodology in support of the business rules lifecycle}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=566874&isnumber=12313}, year = 1997 }