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Extracting Business Rules from Existing Enterprise Software System

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Information and Software Technologies (ICIST 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 319))

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Abstract

As software systems evolve, it becomes increasingly complex for maintainers to keep them aligned with rapidly changing business requirements. Therefore the cost of software maintenance often exceeds the cost of its initial development or adaptation. As a result, automated approaches for software comprehension emerge providing valuable improvements and cost-savings for the software maintenance. This paper presents an approach that facilitates software comprehension by enabling traceability of implementation of business rules and business scenarios in the software system. It also describes a case study on application of this approach for comprehension of business logic implemented in the enterprise content management system and reports obtained results.

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Author information

Authors and Affiliations

  1. Information Systems Research Laboratory, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223, Vilnius, Lithuania

    Kestutis Normantas & Olegas Vasilecas

Authors
  1. Kestutis Normantas
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  2. Olegas Vasilecas
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Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Studentu g. 50-313a, LT-51368, Kaunas, Lithuania

    Tomas Skersys  & Rimantas Butleris  & 

  2. Kaunas University of Technology, Studentu g. 50-309a, LT-51368, Kaunas, Lithuania

    Rita Butkiene

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© 2012 Springer-Verlag Berlin Heidelberg

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Normantas, K., Vasilecas, O. (2012). Extracting Business Rules from Existing Enterprise Software System. In: Skersys, T., Butleris, R., Butkiene, R. (eds) Information and Software Technologies. ICIST 2012. Communications in Computer and Information Science, vol 319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33308-8_40

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  • DOI: https://doi.org/10.1007/978-3-642-33308-8_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33307-1

  • Online ISBN: 978-3-642-33308-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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