Survey on Trust in Software Engineering for Autonomous Dynamic Ecosystems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00130119" target="_blank" >RIV/00216224:14330/23:00130119 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1145/3555776.3577702" target="_blank" >https://doi.org/10.1145/3555776.3577702</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3555776.3577702" target="_blank" >10.1145/3555776.3577702</a>

Result language
angličtina
Original language name
Survey on Trust in Software Engineering for Autonomous Dynamic Ecosystems
Original language description
Software systems across various application domains are undergoing a major shift, from static systems of systems to dynamic ecosystems characterized by largely autonomous software agents, engaging in mutual coalitions and partnerships to complete complex collaborative tasks. One of the key challenges facing software engineering along with this shift, is our preparedness to leverage the concept of mutual trust building among the dynamic system components, to support safe collaborations with (possibly malicious or misbehaving) components outside the boundaries of our control. To support safe evolution towards dynamic software ecosystems, this paper examines the current progress in the research on trust in software engineering across various application domains. To this end, it presents a survey of existing work in this area, and suggests the directions in which further research is needed. These directions include the research of social metrics supporting trust assessment, fine-grained quantification of trust-assessment results, and opening the discussion on governance mechanisms responsible for trust-score management and propagation across the integrated software ecosystems.
Czech name
—
Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
ISBN
9781450395175
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
1490-1497
Publisher name
ACM
Place of publication
Neuveden
Event location
Neuveden
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001124308100211

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