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Tabularizing the Business Knowledge: Automated Detection and Fixing of Anomalies

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Information Systems, Management, Organization and Control

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 6))

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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.

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References

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Author information

Authors and Affiliations

  1. Department of Informatics, University of Bari, Bari, Italy

    Nicola Boffoli, Daniela Castelluccia & Giuseppe Visaggio

  2. SER and Practices, Software Engineering Research and Practices, University of Bari, Bari, Italy

    Nicola Boffoli & Giuseppe Visaggio

  3. DAISY-Net, Driving Advances of ICT in South Italy, Public-Private Consortium Joining the Competence Centre of ICT-Sud, Bari, Italy

    Daniela Castelluccia & Giuseppe Visaggio

Authors
  1. Nicola Boffoli
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  2. Daniela Castelluccia
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  3. Giuseppe Visaggio
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Corresponding author

Correspondence to Nicola Boffoli .

Editor information

Editors and Affiliations

  1. University of Messina, Messina, Italy

    Daniela Baglieri

  2. "Parthenope" University of Naples, Naples, Italy

    Concetta Metallo

  3. Department of Business Administration, University of Verona, Verona, Italy

    Cecilia Rossignoli

  4. Department of Economics, Second University of Naples, Capua, Italy

    Mario Pezzillo Iacono

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© 2014 Springer International Publishing Switzerland

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Boffoli, N., Castelluccia, D., Visaggio, G. (2014). Tabularizing the Business Knowledge: Automated Detection and Fixing of Anomalies. In: Baglieri, D., Metallo, C., Rossignoli, C., Pezzillo Iacono, M. (eds) Information Systems, Management, Organization and Control. Lecture Notes in Information Systems and Organisation, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-07905-9_17

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