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A Template-Based Method to Create Efficient and Customizable Object-Relational Transformation Components

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Information Systems: Methods, Models, and Applications (UNISCON 2012)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 137))

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Abstract

We describe a method to create object-relational transformation components by using the code generation system to automatically generate a persistence layer based on the database structure. A text template engine is used to generate SQL queries, business classes and APIs to access data from the application code. Provided default implementations are sufficient to quickly obtain a working persistence layer. However the real power of proposed solution lies in extensive customization capabilities. Therefore the developed system provides a high developer productivity because of automation, as well as high performance and flexibility due to the possibility of customization. Performance measurements demonstrate the high efficiency of the generated code, both in terms of execution speed and code size.

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Author information

Authors and Affiliations

  1. Institute of Software Systems of National Academy of Sciences of Ukraine, Glushkov prosp. 40, 03187, Kyiv, Ukraine

    Igor Lihatsky, Anatoliy Doroshenko & Kostiantyn Zhereb

Authors
  1. Igor Lihatsky
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  2. Anatoliy Doroshenko
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  3. Kostiantyn Zhereb
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Editor information

Editors and Affiliations

  1. Institute for Applied Informatics, Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria

    Heinrich C. Mayr  & Christian Kop  & 

  2. Brigham Young University, Provo, UT, USA

    Stephen Liddle

  3. School of Computing, Engineering & Mathematics, University of Western Sydney, Penrith, NSW, Australia

    Athula Ginige

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Lihatsky, I., Doroshenko, A., Zhereb, K. (2013). A Template-Based Method to Create Efficient and Customizable Object-Relational Transformation Components. In: Mayr, H.C., Kop, C., Liddle, S., Ginige, A. (eds) Information Systems: Methods, Models, and Applications. UNISCON 2012. Lecture Notes in Business Information Processing, vol 137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38370-0_17

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  • DOI: https://doi.org/10.1007/978-3-642-38370-0_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38369-4

  • Online ISBN: 978-3-642-38370-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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