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International Conference on Computational Science and Its Applications

ICCSA 2014: Computational Science and Its Applications – ICCSA 2014 pp 327–336Cite as

Interactive Test Case Design Algorithm

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8583))

Abstract

Pairwise testing has become a popular approach for test case generation. In contrast to manual enumeration, test case generation is fully automated. However, how test scenarios were obtained is hidden from the user. Attribute exploration is a technique that unites best practices, providing semi-supervised procedure to explore test-cases.

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References

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Author information

Authors and Affiliations

  1. Yandex, 16 Leo Tolstoy St., Moscow, Russia

    Fedor Strok

  2. School of Applied Mathematics and Information Science, National Research University Higher School of Economics, Bol. Trekhsvyatitelskii 3, Moscow, Russia

    Fedor Strok

Authors
  1. Fedor Strok
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Editor information

Editors and Affiliations

  1. School of Engineering, University of Basilicata, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

    Sanjay Misra

  3. Department of Production and Systems, University of Minho, 4710-057, Braga, Portugal

    Ana Maria A. C. Rocha

  4. DICAR, Polytecnico di Bari, 70125, Bari, Italy

    Carmelo Torre

  5. University of Minho, Braga, Portugal

    Jorge Gustavo Rocha  & Maria Irene Falcão  & 

  6. Monash University, 3800,, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan

    Bernady O. Apduhan

  8. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Strok, F. (2014). Interactive Test Case Design Algorithm. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8583. Springer, Cham. https://doi.org/10.1007/978-3-319-09156-3_24

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  • DOI: https://doi.org/10.1007/978-3-319-09156-3_24

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09155-6

  • Online ISBN: 978-3-319-09156-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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