KUŠNIRÁKOVÁ, Daša and Barbora BÜHNOVÁ. Future Vision of Dynamic Certification Schemes for Autonomous Systems. Online. In Evaluation of Novel Approaches to Software Engineering. ENASE 2023. Communications in Computer and Information Science. 2028th ed. Cham: Springer, 2024, p. 211-229. ISBN 978-3-031-64182-4. Available from: https://dx.doi.org/10.1007/978-3-031-64182-4_10.
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Basic information
Original name Future Vision of Dynamic Certification Schemes for Autonomous Systems
Authors KUŠNIRÁKOVÁ, Daša (703 Slovakia, guarantor, belonging to the institution) and Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution).
Edition 2028. vyd. Cham, Evaluation of Novel Approaches to Software Engineering. ENASE 2023. Communications in Computer and Information Science, p. 211-229, 19 pp. 2024.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10200 1.2 Computer and information sciences
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
Organization unit Faculty of Informatics
ISBN 978-3-031-64182-4
Doi http://dx.doi.org/10.1007/978-3-031-64182-4_10
Keywords in English Autonomous systems; Certification; Trust; Safety; Ethics
Tags International impact, Reviewed
Changed by Changed by: RNDr. Daša Kušniráková, učo 445596. Changed: 13/7/2024 14:11.
Abstract
As software becomes increasingly pervasive in critical domains like autonomous driving, new challenges arise, necessitating rethinking of system engineering approaches. The gradual takeover of all critical driving functions by autonomous driving adds to the complexity of certifying these systems. Namely, certification procedures do not fully keep pace with the dynamism and unpredictability of future autonomous systems, and they may not fully guarantee compliance with the requirements imposed on these systems. In this paper, we have identified several issues with the current certification strategies that could pose serious safety risks. As an example, we highlight the inadequate reflection of software changes in constantly evolving systems and the lack of support for systems' cooperation necessary for managing coordinated movements. Other shortcomings include the narrow focus of awarded certification, neglecting aspects such as the ethical behavior of autonomous software systems. The contribution of this paper is threefold. First, we analyze the existing international standards used in certification processes in relation to the requirements derived from dynamic software ecosystems and autonomous systems themselves, and identify their shortcomings. Second, we outline six suggestions for rethinking certification to foster comprehensive solutions to the identified problems. Third, a conceptual Multi-Layer Trust Governance Framework is introduced to establish a robust governance structure for autonomous ecosystems and associated processes, including envisioned future certification schemes. The framework comprises three layers, which together support safe and ethical operation of autonomous systems.
Links
MUNI/G/1142/2022, interní kód MUName: Forensic Support for Building Trust in Smart Software Ecosystems
Investor: Masaryk University, Forensic Support for Building Trust in Smart Software Ecosystems, INTERDISCIPLINARY - Interdisciplinary research projects
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