Semi-automatic testing of data-focused software development kits for Industrie 4.0

Miny, Torben; Heppner, Sebastian; Garmaev, Igor; Kleinert, Tobias; Ristin, Marko; van de Venn, Hans Wernher; Otto, Bjorn; Meinecke, Karsten; Diedrich, Christian; Braunisch, Nico; Wollschlaeger, Martin

doi:10.1109/INDIN51773.2022.9976069

Publication type:	Conference paper
Type of review:	Peer review (abstract)
Title:	Semi-automatic testing of data-focused software development kits for Industrie 4.0
Authors:	Miny, Torben Heppner, Sebastian Garmaev, Igor Kleinert, Tobias Ristin, Marko van de Venn, Hans Wernher Otto, Bjorn Meinecke, Karsten Diedrich, Christian Braunisch, Nico Wollschlaeger, Martin
et. al:	No
DOI:	10.1109/INDIN51773.2022.9976069
Proceedings:	2022 IEEE 20th International Conference on Industrial Informatics (INDIN)
Page(s):	269
Pages to:	274
Conference details:	20th International Conference on Industrial Informatics (INDIN), Perth, Australia, 25-28 July 2022
Issue Date:	2022
Publisher / Ed. Institution:	IEEE
ISBN:	978-1-7281-7568-3
Language:	English
Subjects:	Industrie 4.0; Digital twin; Testing; Verification; Validation; Asset Administration Shell; Software development
Subject (DDC):	003: Systems
Abstract:	The digital twin, or more precisely the Asset Administration Shell, is the key element for interoperability in Industrie 4.0. Together with the asset, it forms the I4.0 component. For the development of I4.0 components, the availability of suitable software development tools is becoming increasingly relevant. However, it is not yet specified how these tools are to be systematically tested for correctness, compliance and conformity. These topics are the focus of this work. We show different established testing methods, evaluate their suitability and describe an approach for a capable test environment.
URI:	https://digitalcollection.zhaw.ch/handle/11475/27080
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Mechatronic Systems (IMS)
Appears in collections:	Publikationen School of Engineering

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Miny, T., Heppner, S., Garmaev, I., Kleinert, T., Ristin, M., van de Venn, H. W., Otto, B., Meinecke, K., Diedrich, C., Braunisch, N., & Wollschlaeger, M. (2022). Semi-automatic testing of data-focused software development kits for Industrie 4.0 [Conference paper]. 2022 IEEE 20th International Conference on Industrial Informatics (INDIN), 269–274. https://doi.org/10.1109/INDIN51773.2022.9976069

Miny, T. et al. (2022) ‘Semi-automatic testing of data-focused software development kits for Industrie 4.0’, in 2022 IEEE 20th International Conference on Industrial Informatics (INDIN). IEEE, pp. 269–274. Available at: https://doi.org/10.1109/INDIN51773.2022.9976069.

T. Miny et al., “Semi-automatic testing of data-focused software development kits for Industrie 4.0,” in 2022 IEEE 20th International Conference on Industrial Informatics (INDIN), 2022, pp. 269–274. doi: 10.1109/INDIN51773.2022.9976069.

MINY, Torben, Sebastian HEPPNER, Igor GARMAEV, Tobias KLEINERT, Marko RISTIN, Hans Wernher VAN DE VENN, Bjorn OTTO, Karsten MEINECKE, Christian DIEDRICH, Nico BRAUNISCH und Martin WOLLSCHLAEGER, 2022. Semi-automatic testing of data-focused software development kits for Industrie 4.0. In: 2022 IEEE 20th International Conference on Industrial Informatics (INDIN). Conference paper. IEEE. 2022. S. 269–274. ISBN 978-1-7281-7568-3

Miny, Torben, Sebastian Heppner, Igor Garmaev, Tobias Kleinert, Marko Ristin, Hans Wernher van de Venn, Bjorn Otto, et al. 2022. “Semi-Automatic Testing of Data-Focused Software Development Kits for Industrie 4.0.” Conference paper. In 2022 IEEE 20th International Conference on Industrial Informatics (INDIN), 269–74. IEEE. https://doi.org/10.1109/INDIN51773.2022.9976069.

Miny, Torben, et al. “Semi-Automatic Testing of Data-Focused Software Development Kits for Industrie 4.0.” 2022 IEEE 20th International Conference on Industrial Informatics (INDIN), IEEE, 2022, pp. 269–74, https://doi.org/10.1109/INDIN51773.2022.9976069.