Towards Understanding Trust in Self-adaptive Systems

D 2024

Towards Understanding Trust in Self-adaptive Systems

VAN LANDUYT, Dimitri; Dávid HALÁSZ; Stef VERREYDT a Danny WEYNS

Základní údaje

Originální název

Towards Understanding Trust in Self-adaptive Systems

Autoři

VAN LANDUYT, Dimitri; Dávid HALÁSZ ; Stef VERREYDT a Danny WEYNS

Vydání

New York, NY, United States, International Conference on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2024), od s. 207-213, 7 s. 2024

Nakladatel

Association for Computing Machinery

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Kód RIV

RIV/00216224:14330/24:00135382

Organizační jednotka

Fakulta informatiky

ISBN

979-8-4007-0585-4

DOI

https://doi.org/10.1145/3643915.3644100

UT WoS

001244690000025

EID Scopus

2-s2.0-85196405033

Klíčová slova anglicky

trust; self-adaptive systems; trustworthiness; trust metrics

Štítky

core_A, firank_A

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 4. 4. 2025 13:14, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

Self-adaptive systems (SASs) can change their structures autonomously and dynamically adapt their behaviors aiming at (i) attaining longer-term system goals and (ii) coping with inevitable dynamics and changes in their operational environments that are difficult to anticipate. As SASs directly or indirectly interact with, and affect humans, such degrees of autonomy create the necessity for these systems to be trusted or considered trustworthy. While the notions of ‘trust’ and ‘trustworthiness’ have been investigated for over a decade, particularly by the SEAMS community, trust is a broad concept that covers diverse notions and techniques and there is currently no clear view on the state of the art. To that end, we present the outcomes of an exploratory literature study that clarifies how trust as a foundational concept has been concretized and used in SASs. Based on an analysis of a set of 16 articles from the published SEAMS proceedings, we provide (i) a summary of the diverse quality attributes of SASs influenced by trust, (ii) a clarification on the different participant roles to trust establishment in SASs, and (iii) a summary of trust qualification or quantification approaches used in literature. This review provides a more holistic view on the current state of the art for attaining trust in the engineering of self-adaptive systems, and identifies research gaps worthy of further investigation.

Návaznosti

MUNI/A/1586/2023, interní kód MU

Název: Aplikovaný výzkum na FI: Forenzní aspekty kritických infrastruktur, aplikovaná kryptografie, kyberbezpečnostní cvičení, algoritmy plánování v logistice a pro zpracování dat z fyzikálních sensorů

Investor: Masarykova univerzita, Aplikovaný výzkum na FI: Forenzní aspekty kritických infrastruktur, aplikovaná kryptografie, kyberbezpečnostní cvičení, algoritmy plánování v logistice a pro zpracování dat z fyzikálních sensorů

Citovat

VAN LANDUYT, Dimitri; Dávid HALÁSZ; Stef VERREYDT a Danny WEYNS. Towards Understanding Trust in Self-adaptive Systems. Online. In International Conference on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2024). New York, NY, United States: Association for Computing Machinery, 2024, s. 207-213. ISBN 979-8-4007-0585-4. Dostupné z: https://doi.org/10.1145/3643915.3644100.

@inproceedings{2363357,
   author = {Van Landuyt, Dimitri and Halász, Dávid and Verreydt, Stef and Weyns, Danny},
   address = {New York, NY, United States},
   booktitle = {International Conference on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2024)},
   doi = {https://doi.org/10.1145/3643915.3644100},
   keywords = {trust; self-adaptive systems; trustworthiness; trust metrics},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {New York, NY, United States},
   isbn = {979-8-4007-0585-4},
   pages = {207-213},
   publisher = {Association for Computing Machinery},
   title = {Towards Understanding Trust in Self-adaptive Systems},
   year = {2024}
}

TY  - CONF
ID  - 2363357
AU  - Van Landuyt, Dimitri - Halász, Dávid - Verreydt, Stef - Weyns, Danny
PY  - 2024
TI  - Towards Understanding Trust in Self-adaptive Systems
PB  - Association for Computing Machinery
CY  - New York, NY, United States
SN  - 9798400705854
KW  - trust
KW  - self-adaptive systems
KW  - trustworthiness
KW  - trust metrics
N2  - Self-adaptive systems (SASs) can change their structures autonomously and dynamically adapt their behaviors aiming at (i) attaining longer-term system goals and (ii) coping with inevitable dynamics and changes in their operational environments that are difficult to anticipate. As SASs directly or indirectly interact with, and affect humans, such degrees of autonomy create the necessity for these systems to be trusted or considered trustworthy. While the notions of ‘trust’ and ‘trustworthiness’ have been investigated for over a decade, particularly by the SEAMS community, trust is a broad concept that covers diverse notions and techniques and there is currently no clear view on the state of the art. To that end, we present the outcomes of an exploratory literature study that clarifies how trust as a foundational concept has been concretized and used in SASs. Based on an analysis of a set of 16 articles from the published SEAMS proceedings, we provide (i) a summary of the diverse quality attributes of SASs influenced by trust, (ii) a clarification on the different participant roles to trust establishment in SASs, and (iii) a summary of trust qualification or quantification approaches used in literature. This review provides a more holistic view on the current state of the art for attaining trust in the engineering of self-adaptive systems, and identifies research gaps worthy of further investigation.
ER  -

VAN LANDUYT, Dimitri; Dávid HALÁSZ; Stef VERREYDT a Danny WEYNS. Towards Understanding Trust in Self-adaptive Systems. Online. In \textit{International Conference on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2024)}. New York, NY, United States: Association for Computing Machinery, 2024, s.~207-213. ISBN~979-8-4007-0585-4. Dostupné z: https://doi.org/10.1145/3643915.3644100.

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