<div class="csl-bib-body">
<div class="csl-entry">Nenzi, L., Bartocci, E., Bortolussi, L., Silvetti, S., & Loreti, M. (2023). MoonLight: a lightweight tool for monitoring spatio-temporal properties. <i>International Journal on Software Tools for Technology Transfer</i>, <i>25</i>(4), 503–517. https://doi.org/10.1007/s10009-023-00710-5</div>
</div>
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dc.identifier.issn
1433-2779
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/191174
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dc.description.abstract
We present MoonLight, a tool for monitoring temporal and spatio-temporal properties of mobile, spatially distributed, and interacting entities such as biological and cyber-physical systems. In MoonLight the space is represented as a weighted graph describing the topological configuration in which the single entities are arranged. Both nodes and edges have attributes modeling physical quantities and logical states of the system evolving in time. MoonLight is implemented in Java and supports the monitoring of Spatio-Temporal Reach and Escape Logic (STREL). MoonLight can be used as a standalone command line tool, such as Java API, or via Matlab™ and Python interfaces. We provide here the description of the tool, its interfaces, and its scripting language using a sensor network and a bike sharing example. We evaluate the tool performances both by comparing it with other tools specialized in monitoring only temporal properties and by monitoring spatio-temporal requirements considering different sizes of dynamical and spatial graphs.
en
dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.language.iso
en
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dc.publisher
SPRINGER HEIDELBERG
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dc.relation.ispartof
International Journal on Software Tools for Technology Transfer
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dc.subject
Runtime verification
en
dc.subject
monitoring
en
dc.subject
Spatio-temporal temporal logic
en
dc.title
MoonLight: a lightweight tool for monitoring spatio-temporal properties
en
dc.type
Article
en
dc.type
Artikel
de
dc.identifier.scopus
2-s2.0-85162689578
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dc.contributor.affiliation
TU Wien, Österreich
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dc.contributor.affiliation
University of Trieste, Italy
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dc.contributor.affiliation
Esteco S.p.A., Italy
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dc.contributor.affiliation
Università di Camerino, Italy
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dc.description.startpage
503
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dc.description.endpage
517
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dc.relation.grantno
ZK 35-G
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dc.type.category
Review Article
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tuw.container.volume
25
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tuw.container.issue
4
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
wb.publication.intCoWork
International Co-publication
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tuw.project.title
High-dimensional statistical learning: New methods to advance economic and sustainability policies
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tuw.researchTopic.id
I2
-
tuw.researchTopic.name
Computer Engineering and Software-Intensive Systems
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tuw.researchTopic.value
100
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dcterms.isPartOf.title
International Journal on Software Tools for Technology Transfer
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tuw.publication.orgunit
E191-01 - Forschungsbereich Cyber-Physical Systems
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tuw.publisher.doi
10.1007/s10009-023-00710-5
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dc.date.onlinefirst
2023-06-22
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dc.identifier.eissn
1433-2787
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dc.description.numberOfPages
15
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tuw.author.orcid
0009-0004-3629-0799
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tuw.author.orcid
0000-0002-8004-6601
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tuw.author.orcid
0000-0003-2070-4649
-
wb.sci
true
-
wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
-
wb.sciencebranch.value
100
-
item.openairetype
review article
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item.languageiso639-1
en
-
item.fulltext
no Fulltext
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item.grantfulltext
none
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item.openairecristype
http://purl.org/coar/resource_type/c_dcae04bc
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item.cerifentitytype
Publications
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crisitem.author.dept
E191-01 - Forschungsbereich Cyber-Physical Systems
-
crisitem.author.dept
E191-01 - Forschungsbereich Cyber-Physical Systems