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Authors: Dominik Grzelak and Uwe Aßmann

Affiliation: Software Technology Group, Technische Universität Dresden, Germany

Keyword(s): Context-adaptive Software, Formal Models, Software Verification, Future Informatic Systems.

Abstract: Mobile technology and the Internet of Things promise to deepen the interaction between people, services, and physical devices. Digital solutions for these prospective computing systems are not only radically changing the user experience but also the software engineering process. Without a doubt, software complexity enormously increases, and prospective systems become challenging to develop, maintain, and verify. The user’s reliance on safety-critical software systems is a serious element in any software engineering process where the absence of bugs must be ensured, and malfunction ruled out. Software that is not safe, i.e., the software’s behavior does not comply with a specification, could cause loss of profits or, in the worst-case, harm people. Software safety is an ongoing but mostly academic research field incorporating formal methods to prove the correctness of a program using mathematical methods. In this spirit, we examine the promising context-aware computing and model-drive n development paradigms that have directed the development of fog computing and IoT platforms alike. Furthermore, we aggregate viable requirements for computational context models to be employed both for computation and also reasoning about the correctness of applications. (More)

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Paper citation in several formats:
Grzelak, D. and Aßmann, U. (2020). Preparatory Reflections on Safe Context-adaptive Software (Position Paper). In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-426-8; ISSN 2184-4976, SciTePress, pages 382-391. DOI: 10.5220/0009459503820391

@conference{iotbds20,
author={Dominik Grzelak. and Uwe Aßmann.},
title={Preparatory Reflections on Safe Context-adaptive Software (Position Paper)},
booktitle={Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2020},
pages={382-391},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009459503820391},
isbn={978-989-758-426-8},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Preparatory Reflections on Safe Context-adaptive Software (Position Paper)
SN - 978-989-758-426-8
IS - 2184-4976
AU - Grzelak, D.
AU - Aßmann, U.
PY - 2020
SP - 382
EP - 391
DO - 10.5220/0009459503820391
PB - SciTePress