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Tabularizing the Business Knowledge: Automated Detection and Fixing of Anomalies

In: Information Systems, Management, Organization and Control

Author

Listed:
  • Nicola Boffoli

    (University of Bari
    University of Bari)

  • Daniela Castelluccia

    (University of Bari
    Public-Private Consortium Joining the Competence Centre of ICT-Sud)

  • Giuseppe Visaggio

    (University of Bari
    University of Bari
    Public-Private Consortium Joining the Competence Centre of ICT-Sud)

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.

Suggested Citation

  • Nicola Boffoli & Daniela Castelluccia & Giuseppe Visaggio, 2014. "Tabularizing the Business Knowledge: Automated Detection and Fixing of Anomalies," Lecture Notes in Information Systems and Organization, in: Daniela Baglieri & Concetta Metallo & Cecilia Rossignoli & Mario Pezzillo Iacono (ed.), Information Systems, Management, Organization and Control, edition 127, pages 243-251, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-07905-9_17
    DOI: 10.1007/978-3-319-07905-9_17
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