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Evolutionary Scriptless Testing

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Research Challenges in Information Science (RCIS 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 446))

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Abstract

Automated scriptless testing approaches use Action Selection Rules (ASR) to generate on-the-fly test sequences when testing a software system. Currently, these rules are manually designed and implemented. In this paper we present our research on how to automatically create ASRs by evolving them using an evolutionary algorithm. Expected results are an automated system for Evolutionary Scriptless Testing containing a representation of ASRs, different fitness functions and manipulation operators.

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Notes

  1. 1.

    www.ivves.eu.

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Acknowledgements

This work has been funded by the ITEA3 IVVES project, with contract number 18022.

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Authors and Affiliations

  1. Open Universiteit, Heerlen, The Netherlands

    Lianne Valerie Hufkens

Authors
  1. Lianne Valerie Hufkens
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Correspondence to Lianne Valerie Hufkens .

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Editors and Affiliations

  1. University of Twente, Enschede, The Netherlands

    Renata Guizzardi

  2. University of Geneva, CUI, Carouge, Switzerland

    Jolita Ralyté

  3. Polytechnic University of Catalonia, Barcelona, Spain

    Xavier Franch

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Hufkens, L.V. (2022). Evolutionary Scriptless Testing. In: Guizzardi, R., Ralyté, J., Franch, X. (eds) Research Challenges in Information Science. RCIS 2022. Lecture Notes in Business Information Processing, vol 446. Springer, Cham. https://doi.org/10.1007/978-3-031-05760-1_55

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  • DOI: https://doi.org/10.1007/978-3-031-05760-1_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05759-5

  • Online ISBN: 978-3-031-05760-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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