License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license (CC BY-NC-ND 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.1.11.91
URN: urn:nbn:de:0030-drops-33794
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2012/3379/
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Aßmann, Uwe ; Bencomo, Nelly ; Cheng, Betty H. C. ; France, Robert B.
Weitere Beteiligte (Hrsg. etc.): Uwe Aßmann and Nelly Bencomo and Betty H. C. Cheng and Robert B. France

Models@run.time (Dagstuhl Seminar 11481)

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dagrep_v001_i011_p091_s11481.pdf (0.8 MB)


Abstract

This report documents the program and the outcomes of Dagstuhl Seminar
11481 ``Models@run.time''. Research on models@run.time seeks to extend
the applicability of models and abstractions to the runtime
environment, with the goal of providing effective technologies for
managing the complexity of evolving software behaviour while it is
executing. The Dagstuhl Seminar ``Models@run.time'' brought together a
diverse set of researchers and practitioners with a broad range of
expertise, including MDE, software architectures, reflection,
self-adaptive systems, validation and verification, middleware,
robotics and requirements engineering.

BibTeX - Entry

@Article{amann_et_al:DR:2012:3379,
  author =	{Uwe A{\ss}mann and Nelly Bencomo and Betty H. C. Cheng and Robert B. France},
  title =	{{Models@run.time (Dagstuhl Seminar 11481)}},
  pages =	{91--123},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2012},
  volume =	{1},
  number =	{11},
  editor =	{Uwe A{\ss}mann and Nelly Bencomo and Betty H. C. Cheng and Robert B. France},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2012/3379},
  URN =		{urn:nbn:de:0030-drops-33794},
  doi =		{10.4230/DagRep.1.11.91},
  annote =	{Keywords: Self-adaptive Systems, Feedback Loop, Assurance, Uncertainty, Requirements, Optimization, Adaptation}
}

Keywords: Self-adaptive Systems, Feedback Loop, Assurance, Uncertainty, Requirements, Optimization, Adaptation
Collection: Dagstuhl Reports, Volume 1, Issue 11
Issue Date: 2012
Date of publication: 06.03.2012


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