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Extending UML Sequence Diagrams to Model Trust-dependent Behavior With the Aim to Support Risk Analysis

Authors: Atle Refsdal; Ketil Stølen;

Extending UML Sequence Diagrams to Model Trust-dependent Behavior With the Aim to Support Risk Analysis

Abstract

AbstractUML sequence diagrams are intuitively simple and can be understood by most stakeholders, including end-users, decision makers, engineers and other parties involved in a risk analysis. Building on UML sequence diagrams and trying to maintain their intuitive simplicity we propose a language for modeling systems where the trust considerations of actors play a major role. Trust considerations are integrated with behavioral descriptions in order to facilitate analysis of the trust considerations of the actors as well as their resulting behavior. We claim that our language allows trust dependent behavior to be described at a level of abstraction suitable for communication between different groups of stakeholders in a risk analysis situation. Furthermore, we argue that the increased expressiveness is required to facilitate the kind of analysis necessary to properly weigh and treat trust dependent risk behavior.

Related Organizations
Keywords

Risk analysis, risk analysis, Trust modeling, Sequence diagrams, sequence diagrams, Software, Theoretical Computer Science, Computer Science(all)

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Top 10%
gold