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VACXENE: A User-Friendly Visual Synthetic XML Generator

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Book cover Conceptual Modeling for Novel Application Domains (ER 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2814))

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Abstract

Synthetic collections of valid XML documents are useful in many XML applications. However, creating test cases for XML applications by manually from DTDs can be tedious and may not cover all possible or required instances. In this paper, we present VACXENE (VisuAl synthetiC Xml gENErator), a Java-based tool that creates test cases for XML applications by generating random instances of valid XML documents from a single DTD. XML generator provides a user-friendly GUI that allows us to control the appearance of the XML output by imposing user-defined constraints. The paper presents an overview of the various features supported by VACXENE and reports some preliminary results regarding performance.

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References

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Author information

Authors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University, Singapore

    Khoo Boon Tian & Sourav S Bhowmick

  2. Department of Computer Science, University of Missouri-Rolla, Rolla, MO, 65401, USA

    Sanjay Madria

Authors
  1. Khoo Boon Tian
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  2. Sourav S Bhowmick
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  3. Sanjay Madria
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Editor information

Editors and Affiliations

  1. CRISM/Infolab, Tilburg University, 5000, Tilburg, LE, The Netherlands

    Manfred A. Jeusfeld

  2. Department of Information Systems and Computation, Technical University of Valencia, Camino de Vera s/n, 46022, Valencia, Spain

    Óscar Pastor

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© 2003 Springer-Verlag Berlin Heidelberg

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Tian, K.B., Bhowmick, S.S., Madria, S. (2003). VACXENE: A User-Friendly Visual Synthetic XML Generator. In: Jeusfeld, M.A., Pastor, Ó. (eds) Conceptual Modeling for Novel Application Domains. ER 2003. Lecture Notes in Computer Science, vol 2814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39597-3_35

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  • DOI: https://doi.org/10.1007/978-3-540-39597-3_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20257-8

  • Online ISBN: 978-3-540-39597-3

  • eBook Packages: Springer Book Archive

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