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dc.contributor.authorCalvanese D
dc.contributor.authorDumas M
dc.contributor.authorLaurson Ü
dc.contributor.authorMaggi FM
dc.contributor.authorMontali M
dc.contributor.authorTeinemaa I
dc.date.accessioned2019-02-15T13:09:27Z
dc.date.available2019-02-15T13:09:27Z
dc.date.issued2018
dc.identifier.issn0306-4379
dc.identifier.urihttp://dx.doi.org/10.1016/j.is.2018.01.010
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0306437916306330
dc.identifier.urihttp://hdl.handle.net/10863/8357
dc.description.abstractThe Decision Model and Notation (DMN) is a standard notation to capture decision logic in business applications. A central construct in DMN is that of a decision table. The increasing use of DMN decision tables to capture critical business knowledge raises the need to support analysis and refactoring tasks on these tables. This article puts forward a formal semantics for DMN decision tables and a formal definition of analysis tasks on such tables. The article then proposes a general approach to analyze and refactor decision tables based on a geometric interpretation thereof. This general approach is used to design efficient algorithms for two analysis tasks (detection of overlapping rules and of missing rules) and one refactoring task (simplification of tables via rule merging). The algorithms have been implemented in an open-source DMN editor and tested on large decision tables derived from a credit lending dataset. © 2018 Elsevier Ltden_US
dc.languageEnglish
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights
dc.titleSemantics, Analysis and Simplification of DMN Decision Tablesen_US
dc.typeArticleen_US
dc.date.updated2019-02-04T15:56:56Z
dc.language.isiEN-GB
dc.journal.titleInformation Systems
dc.description.fulltextreserveden_US


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