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DOI: 10.4230/DARTS.3.1.7
URN: urn:nbn:de:0030-drops-71454
URL: http://drops.dagstuhl.de/opus/volltexte/2017/7145/
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Monteiro Barbosa, Davi ; Gadelha de Moura Lima, Rómulo ; Maia, Paulo Henrique Mendes ; Junior, Evilásio Costa

Lotus@Runtime: A Tool for Runtime Monitoring and Verification of Self-adaptive Systems (Artifact)

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Abstract

This paper presents Lotus@Runtime, an extensible tool that uses models@runtime to monitor and verify self-adaptive systems. The tool monitors the execution traces generated by a self-adaptive system and annotates the probabilities of occurrence of each system action on their respective transition on the system model, which is created at design time in the tool as a Labelled Transition System (LTS). Then, runtime checks of a set of reachability properties are performed against the updated probabilistic model. If a property is violated, the self-adaptive system can be informed by a notification mechanism provided by Lotus@Runtime. The applicability of the proposed tool has been demonstrated by two service-based self-adaptive systems taken and adapted from the literature.

BibTeX - Entry

@Article{monteirobarbosa_et_al:DARTS:2017:7145,
  author =	{Davi Monteiro Barbosa and Rómulo Gadelha de Moura Lima and Paulo Henrique Mendes Maia and Evilásio Costa Junior},
  title =	{{Lotus@Runtime: A Tool for Runtime Monitoring and Verification of Self-adaptive Systems (Artifact)}},
  pages =	{7:1--7:5},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2017},
  volume =	{3},
  number =	{1},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7145},
  URN =		{urn:nbn:de:0030-drops-71454},
  doi =		{10.4230/DARTS.3.1.7},
  annote =	{Keywords: Self-adaptive systems; Runtime models; Runtime verification; Tool; Framework}
}

Keywords: Self-adaptive systems; Runtime models; Runtime verification; Tool; Framework
Seminar: DARTS, Volume 3, Issue 1
Related Scholarly Article: http://dx.doi.org/10.1109/SEAMS.2017.18
Issue Date: 2017
Date of publication: 16.05.2017


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