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Authors: Ulrike Witteck 1 ; Denis Grießbach 1 and Paula Herber 2

Affiliations: 1 Institute of Optical Sensor Systems, German Aerospace Center (DLR), Berlin-Adlershof and Germany ; 2 Embedded Systems Group, University of Münster and Germany

Keyword(s): Image Processing, Software Testing, Input Partitioning, Satellite Systems.

Abstract: On-board image processing technologies in the satellite domain are subject to extremely strict requirements with respect to reliability and accuracy in hard real-time. Due to their large input domain, it is infeasible to execute all possible test cases. To overcome this problem, we define a novel test approach that efficiently and systematically captures the input domain of satellite on-board image processing applications. To achieve this, we first present a dedicated partitioning into equivalence classes for each input parameter. Then, we define multidimensional coverage criteria to assess a given test suite for its coverage on the complete input domain. Finally, we present a test generation algorithm that automatically inserts missing test cases into a given test suite based on our multidimensional coverage criteria. This results in a reasonably small test suite that covers the whole input domain of satellite on-board image processing applications. We demonstrate the effectiveness of our approach with experimental results from the ESA medium-class mission PLATO. (More)

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Paper citation in several formats:
Witteck, U.; Grießbach, D. and Herber, P. (2019). Test Input Partitioning for Automated Testing of Satellite On-board Image Processing Algorithms. In Proceedings of the 14th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-379-7; ISSN 2184-2833, SciTePress, pages 15-26. DOI: 10.5220/0007807400150026

@conference{icsoft19,
author={Ulrike Witteck. and Denis Grießbach. and Paula Herber.},
title={Test Input Partitioning for Automated Testing of Satellite On-board Image Processing Algorithms},
booktitle={Proceedings of the 14th International Conference on Software Technologies - ICSOFT},
year={2019},
pages={15-26},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007807400150026},
isbn={978-989-758-379-7},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Software Technologies - ICSOFT
TI - Test Input Partitioning for Automated Testing of Satellite On-board Image Processing Algorithms
SN - 978-989-758-379-7
IS - 2184-2833
AU - Witteck, U.
AU - Grießbach, D.
AU - Herber, P.
PY - 2019
SP - 15
EP - 26
DO - 10.5220/0007807400150026
PB - SciTePress

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