On Autonomous Dynamic Software Ecosystems

Capilla, Rafael; Cioroaica, Emilia; Bühnová, Barbora; Bosch, Jan

doi:10.1109/tem.2021.3116873

Cited by 16 publications

(7 citation statements)

References 46 publications

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“…The ecosystem identifies its surroundings and entities communicating with the system, specifies the relationships between them as well as determines the system context, that is, the system's main meaning and ways of use. Capilla et al (2022) defined ecosystems formed by software autonomous systems as ecosystems supporting dynamic, smart, and autonomous features which are required by modern software systems. In particular, the following features need to be taken into consideration when designing certification suitable for autonomous systems: (1) automation understood as automated self-adaptation of the ecosystem on context changes during runtime; (2) autonomy meaning there is no longer any human monitoring of the systems inside the ecosystem; (3) dynamic goal evaluation as intelligent adaptation to dynamic needs with the intention to achieve the proposed and explicitly defined goals; (4) automated trust management as a crucial concept driving decision-making 3 ; and (5)…”

Section: Dynamic Software Ecosystemsmentioning

confidence: 99%

“…Besides that, autonomous systems, i.e. "systems changing their behaviour in response to unanticipated events during operation" (Watson and Scheidt, 2005), among which AVs clearly belong, rely on automatic software updates at runtime in order to adjust to specific environment or context changes (Capilla et al, 2022), or to improve AI components of an AV in general (Baldini, 2020). Again, the traditional certification procedures are not designed to promptly deal with this situation.…”

Section: Introductionmentioning

confidence: 99%

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Rethinking Certification for Higher Trust and Ethical Safeguarding of Autonomous Systems

Kušniráková

Bühnová

2023

Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering

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With the increasing complexity of software permeating critical domains such as autonomous driving, new challenges are emerging in the ways the engineering of these systems needs to be rethought. Autonomous driving is expected to continue gradually overtaking all critical driving functions, which is adding to the complexity of the certification of autonomous driving systems. As a response, certification authorities have already started introducing strategies for the certification of autonomous vehicles and their software. But even with these new approaches, the certification procedures are not fully catching up with the dynamism and unpredictability of future autonomous systems, and thus may not necessarily guarantee compliance with all requirements imposed on these systems. In this paper, we identified a number of issues with the proposed certification strategies, which may impact the systems substantially. For instance, we emphasize the lack of adequate reflection on software changes occurring in constantly changing systems, or low support for systems' cooperation needed for the management of coordinated moves. Other shortcomings concern the narrow focus of the awarded certification by neglecting aspects such as the ethical behaviour of autonomous software systems. The contribution of this paper is threefold. First, we discuss the motivation for the need to modify the current certification processes for autonomous driving systems. Second, we analyze current international standards used in the certification processes towards requirements derived from the requirements laid on dynamic software ecosystems and autonomous systems themselves. Third, we outline a concept for incorporating the missing parts into the certification procedure.1 Anti-lock Braking System; a safety system used on land vehicles activated in case of a skid in order to allow the driver to maintain more control over the vehicle.

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Section: Dynamic Software Ecosystemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rethinking Certification for Higher Trust and Ethical Safeguarding of Autonomous Systems

Kušniráková

Bühnová

2023

Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering

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“…T HE growing demand for complex autonomous cyberphysical systems is stimulating their advancement in the direction of forming cooperative and collaborative autonomous ecosystems [1]. Such autonomous ecosystems, i.e.…”

Section: Introductionmentioning

confidence: 99%

“…Even though there has been substantial progress in the research of the methods ensuring safety in individual autonomous systems, the methods are falling short on the larger scale of autonomous ecosystems, in which the individual autonomous systems dynamically join and leave the ecosystem and interact with each other in a decentralized manner [1]. In this environment where multiple autonomous systems operate in the same physical space with high level of complexity and dynamic context changes, existing safety-assurance methods on the level of each individual systems might become too rigid to support the overall ecosystems.…”

Section: Introductionmentioning

confidence: 99%

Rethinking Safety in Autonomous Ecosystems

Halasz¹,

Bühnová²

2022

Annals of Computer Science and Information Systems

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As autonomous cyber-physical systems are responding to the dynamism of our hyper-connected digital world, they are forming so called dynamic autonomous ecosystems, which require a change in methods ensuring their safe behavior. Within this change, reactions to predictable scenarios need to be replaced with adaptability to the unpredictable context, with gradual safety mechanisms, able to decide whether or not to trigger a certain mitigation procedure. In this paper, we outline our vision towards evolution of safety mechanisms to support dynamic and self-adaptive architectures of autonomous ecosystems. We are proposing an approach to address this research problem with the help of trust and reputation combined with gradual adaptation of safety procedures at runtime.

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“…Furthermore, autonomous systems, i.e. "systems changing their behaviour in response to unanticipated events during operation" [36], to which AVs clearly belong, rely on automatic software updates at run-time to adapt to specific environment or context changes [7], or to improve AI components of an AV in general [3]. Again, typical certification processes seem not to be geared to deal with this problem quickly.…”

Section: Introductionmentioning

confidence: 99%

Interoperability-oriented Quality Assessment for Czech Open Data

Kušniráková¹,

Ge²,

Walletzký³

et al. 2022

Proceedings of the 11th International Conference on Data Science, Technology and Applications

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With the rapid increase of published open datasets, it is crucial to support the open data progress in smart cities while considering the open data quality. In the Czech Republic, and its National Open Data Catalogue (NODC), the open datasets are usually evaluated based on their metadata only, while leaving the content and the adherence to the recommended data structure to the sole responsibility of the data providers. The interoperability of open datasets remains unknown. This paper therefore aims to propose a novel content-aware quality evaluation framework that assesses the quality of open datasets based on five data quality dimensions. With the proposed framework, we provide a fundamental view on the interoperability-oriented data quality of Czech open datasets, which are published in NODC. Our evaluations find that domain-specific open data quality assessments are able to detect data quality issues beyond traditional heuristics used for determiningCzech open data quality, increase their interoperability, and thus increase their potential to bring value for the society. The findings of this research are beneficial not only for the case of the Czech Republic, but also can be applied in other countries that intend to enhance their open data quality evaluation processes.

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On Autonomous Dynamic Software Ecosystems

Cited by 16 publications

References 46 publications

Rethinking Certification for Higher Trust and Ethical Safeguarding of Autonomous Systems

Rethinking Certification for Higher Trust and Ethical Safeguarding of Autonomous Systems

Rethinking Safety in Autonomous Ecosystems

Interoperability-oriented Quality Assessment for Czech Open Data

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