TY - GEN
T1 - Quality Assurance of Digital Twins
T2 - 16th International Conference on the Quality of Information and Communications Technology, QUATIC 2023
AU - Tüzün, Alican
AU - Hackenberg, Georg Hermann Richard
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Digital twins are becoming increasingly important for the efficient and effective development and operation of cyber-physical systems. However, digital twins are only useful if they reflect the real-world system accurately enough, i.e. their quality is high enough. This claim entails the question, of what the term quality in the context of digital twins means and how it can be measured. In this article, the authors presented their experience with the quality assurance of a digital twin for an assembly line in the automotive industry. Authors explained the preliminary definition of digital twin quality, which authors derived from classical quality models for general software systems. Furthermore, authors described quality issues, which they were able to detect in a digital twin of an assembly line in the automotive industry. Finally, authors concluded how to leverage their experience in different contexts and how to generalize the underlying approaches.
AB - Digital twins are becoming increasingly important for the efficient and effective development and operation of cyber-physical systems. However, digital twins are only useful if they reflect the real-world system accurately enough, i.e. their quality is high enough. This claim entails the question, of what the term quality in the context of digital twins means and how it can be measured. In this article, the authors presented their experience with the quality assurance of a digital twin for an assembly line in the automotive industry. Authors explained the preliminary definition of digital twin quality, which authors derived from classical quality models for general software systems. Furthermore, authors described quality issues, which they were able to detect in a digital twin of an assembly line in the automotive industry. Finally, authors concluded how to leverage their experience in different contexts and how to generalize the underlying approaches.
UR - http://www.scopus.com/inward/record.url?scp=85172419818&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-43703-8_2
DO - 10.1007/978-3-031-43703-8_2
M3 - Conference contribution
AN - SCOPUS:85172419818
SN - 9783031437021
T3 - Communications in Computer and Information Science
SP - 15
EP - 29
BT - Quality of Information and Communications Technology - 16th International Conference, QUATIC 2023, Proceedings
A2 - Fernandes, José Maria
A2 - Travassos, Guilherme H.
A2 - Lenarduzzi, Valentina
A2 - Li, Xiaozhou
PB - Springer
Y2 - 11 September 2023 through 13 September 2023
ER -