Tabularizing the Business Knowledge: Automated Detection and Fixing of Anomalies

Nicola Boffoli (), Daniela Castelluccia () and Giuseppe Visaggio ()
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Nicola Boffoli: University of Bari
Daniela Castelluccia: University of Bari
Giuseppe Visaggio: University of Bari

A chapter in Information Systems, Management, Organization and Control, 2014, pp 243-251 from Springer

Abstract: Abstract Formalizing the business knowledge makes it easy to understand for decision-makers aiming at improving the business processes. However, extracting, structuring and formalizing the business rules and constraints and then managing the variability of decision points could be difficult without an effective support. The authors’ research explores the benefits of the application of decision tables, finding additional advantages in detecting and fixing several anomalies that may affect the business knowledge. Decision tables are able to guarantee non-redundancy, consistency and completeness. The authors have implemented a software tool to automate decision tables in practice and describe a running example to give perception of these advantages.

Keywords: Business rules; Decision tables; Verification and validation (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-07905-9_17

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DOI: 10.1007/978-3-319-07905-9_17

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