Scalable uncertainty-tolerant business rules

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Abstract

Business rules are of key importance for maintaining the correctness of business data. They also can help to contain the amount of uncertainty associated to business data and decisions based on them. However, business rule enforcement does not scale up easily to concurrent systems. That is due to two common exigencies: the postulates of total and of isolated business rule satisfaction. In order to limit the accumulation of uncertainty, we outline how measure-based uncertainty-tolerant business rules maintenance scales up to concurrent transactions, by refraining from the postulates of total and isolated rule satisfaction. © 2014 Springer International Publishing.

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APA

Cuzzocrea, A., Decker, H., & Muñoz-Escoí, F. D. (2014). Scalable uncertainty-tolerant business rules. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8480 LNAI, pp. 179–190). Springer Verlag. https://doi.org/10.1007/978-3-319-07617-1_16

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