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European Conference on Software Process Improvement

EuroSPI 2019: Systems, Software and Services Process Improvement pp 709–721Cite as

Testing Artificial Intelligence

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1060))

Abstract

Autonomous cars rely on visual recognition systems that use Artificial Intelligence for recognizing objects; for instance, an Advanced Driving Assistance System. They can be trained but they can also unlearn.

Testing image recognition systems requires creating new test cases based on new images that can be used for Autonomous Real-time Testing, avoiding combinatorial explosion. This is achieved with a data movement map according ISO/IEC 19761, used to build a model for image recognition.

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References

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Author information

Authors and Affiliations

  1. Euro Project Office AG, Zürich, Switzerland

    Thomas Fehlmann

Authors
  1. Thomas Fehlmann
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Corresponding author

Correspondence to Thomas Fehlmann .

Editor information

Editors and Affiliations

  1. Lorit Consultancy, Edinburgh, UK

    Alastair Walker

  2. School of Computing, Dublin City University, Dublin, Ireland

    Rory V. O'Connor

  3. I.S.C.N. GesmbH, Graz, Austria

    Richard Messnarz

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Fehlmann, T. (2019). Testing Artificial Intelligence. In: Walker, A., O'Connor, R., Messnarz, R. (eds) Systems, Software and Services Process Improvement. EuroSPI 2019. Communications in Computer and Information Science, vol 1060. Springer, Cham. https://doi.org/10.1007/978-3-030-28005-5_55

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  • DOI: https://doi.org/10.1007/978-3-030-28005-5_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28004-8

  • Online ISBN: 978-3-030-28005-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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