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Automation of Upgrade Process for Enterprise Resource Planning Systems

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Information and Software Technologies (ICIST 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 403))

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Abstract

This paper presents a framework for semi-automatic process of enterprise resource planning (ERP) system upgrade. We suggest to change currently accepted practice of manual upgrade process when domain expert-programmer works through all localizations and transforms them manually to the new version of ERP system. The core idea for this framework is to induce the software code transformation patterns from completed upgrade projects and then to refine these patterns by using knowledge of ERP upgrade expert. These patterns lets us to increase productivity of upgrade process by improving automatic code alignment and annotation and by providing code transformation to the new version of ERP system. The price for these improvements is a requirement for upgrade expert to move from traditional 4/GL ERP programming language to stochastic meta-programming language which is used to describe code alignment and code transformation patterns.

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Author information

Authors and Affiliations

  1. Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223, Vilnius-40, Lithuania

    Algirdas Laukaitis

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  1. Algirdas Laukaitis
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Editor information

Editors and Affiliations

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

    Tomas Skersys

  2. Centre of Information Systems Design Technologies, Kaunas University of Technology, Studentu st. 50-313a, 51368, Kaunas, Lithuania

    Rimantas Butleris

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

    Rita Butkiene

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Laukaitis, A. (2013). Automation of Upgrade Process for Enterprise Resource Planning Systems. In: Skersys, T., Butleris, R., Butkiene, R. (eds) Information and Software Technologies. ICIST 2013. Communications in Computer and Information Science, vol 403. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41947-8_7

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  • DOI: https://doi.org/10.1007/978-3-642-41947-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41946-1

  • Online ISBN: 978-3-642-41947-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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