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Data-Centric Business and Applications pp 61–75Cite as

Framework for Processing Behavioral Business Rules Written in a Controlled Natural Language

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 40))

Abstract

Business rules are the basis of the business logic of the most information systems. They are considered to be the first citizens of the requirements world and are the key element of business and technology models. It is highly recommended the rules to be written in a natural language, which is understandable for all interested parties. The paper presents the actual state of a framework for business rules processing. The framework is capable of serving business rules written in a controlled language (which syntax was inspired with SBVR SE) assuming that the source code is properly instrumented. Unfortunately, there exists a very limited number of solutions enabling processing business rules expressed that way. The proof-of-concept implementation proved the correctness and usefulness of the proposed approach.

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Authors and Affiliations

  1. Faculty of Science and Management, Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Bogumiła Hnatkowska & Martyna Litkowska

Authors
  1. Bogumiła Hnatkowska
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  2. Martyna Litkowska
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Corresponding author

Correspondence to Bogumiła Hnatkowska .

Editor information

Editors and Affiliations

  1. Institute of Information Technology, Lodz University of Technology, Łódź, Poland

    Aneta Poniszewska-Marańda

  2. Department of e-Business, Faculty of Business, Economics and Statistics, University of Vienna, Vienna, Wien, Austria

    Natalia Kryvinska

  3. Faculty of Computer Science, Bialystok University of Technology, Białystok, Poland

    Stanisław Jarząbek

  4. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Lech Madeyski

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Hnatkowska, B., Litkowska, M. (2020). Framework for Processing Behavioral Business Rules Written in a Controlled Natural Language. In: Poniszewska-Marańda, A., Kryvinska, N., Jarząbek, S., Madeyski, L. (eds) Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-030-34706-2_4

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