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<p class="MsoNormal"><span lang="EN-US">Call for Papers: 16th International Workshop on Models@run.time<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"> <o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">In conjunction with ACSOS 2023<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Toronto, Canada, 25th-29th September 2023<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">https://2023.acsos.org/<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">== Important Dates (AoE) ==<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"> <o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Deadline Submission: Sunday, July 9th
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Notification of acceptance: Sunday, July 23rd<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Camera ready deadline: Saturday, August 5th<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Workshop at ACSOS: Monday, September 25th<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">== Motivation ==<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">The complexity of adapting software during runtime has spawned interest in how models can be used to validate, monitor and adapt runtime behaviour. The use of models during runtime extends the use of modelling techniques
beyond the design and implementation phases. The goal of this workshop is to look at issues related to developing appropriate model-driven approaches to managing and monitoring the execution of systems. We aim to continue the discussion of research ideas and
proposals from researchers who work in relevant areas such as MDE, software architectures, reflection, and autonomic and self-adaptive systems, and provide a "state-of-the-art" research assessment expressed in terms of challenges and achievements.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">The objectives of this year's edition of the models@run.time workshop are:<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">a) to foster work on novel topics covering fundamental as well as applied research on models@run.time or, in general, work that attempts to apply model-driven techniques at runtime,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">b) to bring together researchers from the model-driven software development community and ACSOS community and<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">c) to discuss the applicability of research results on models@run.time to industrial case studies.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">A literature survey on models@run.time has been published in the Software and Systems Modelling Journal in 2019 (https://link.springer.com/article/10.1007/s10270-018-00712-x).
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">This work now has been updated with publications until 2022. As a result, this year, we (i) strengthen the focus of the workshop on new hot topics, which are at an early stage of research, and call for new types of submissions
as described below.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">== Topics of Interest ==<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Papers on models@run.time can relate (but are not limited) to the following domains:<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Learning Models/AI: runtime models learned using techniques such as Machine Learning and Bayesian Learning/Inference.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Self-modelling: approaches able to derive runtime models on-the-fly<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Self-aware, Reflective, and Cognitive Computing making use of runtime models<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Self-Organization, Self-Adaptation, and Organic Computing making use of runtime models<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Big Data: application of models@run.time to (i) reflect and adapt the architecture of components involved in big data processing, and (ii) select source and data (data management) to help achieve the system's goals<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Cyber-physical Systems: hybrid runtime models, e.g., based on Modelica or Ptolemy<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Cloud Computing and DevOps: runtime models for, e.g., multi-tenant systems
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Control theory: approaches applying runtime models in the context of control theory<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Application to other sciences: including, e.g., biology, chemistry, sociology and psychology<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">We strongly encourage authors to address the following topics in their papers:<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- The causal connection between the system and the runtime model, with particular focus on a transaction concept for this causal connection (timing, roll-back ability and data-consistency)<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Distributed models@run.time, i.e., having multiple, interacting systems, each having an own runtime model<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Modular models@run.time, i.e., approaches to improve the modularity of models@run.time systems<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Co-evolving models@run.time, i.e., systematic approaches to synchronize multiple, interacting models@run.time systems<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- No papers on executable models, unless they are causally (bi-)connected to a running system
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">== Submissions ==<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">The workshop participants will be selected based on their experience and ideas related to this maturing field. You are invited to apply for attendance by sending a full paper (6 pages) on original research, lessons learned
from realizing an approach or experiences on transferring a research prototype into practice.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Additionally, you can apply for a lighting talk to present yourself to the community by submitting an abstract only, which will not be published.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">All papers must conform to the IEEE formatting guidelines, which can be found at: https://www.ieee.org/conferences/publishing/templates.html. At least three PC members will review each submission. The authors will be
notified about acceptance before the ACSOS 2023 early registration deadline.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">You can submit your papers via EasyChair: https://easychair.org/conferences/?conf=mrt23.
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">All papers will be published as IEEE proceedings.
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">== Program Committee ==<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Luciano Baresi, Politecnico di Milano<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Thais Batista, Federal University of Rio Grande do Norte<o:p></o:p></span></p>
<p class="MsoNormal">- Carlos Cetina, San Jorge University<o:p></o:p></p>
<p class="MsoNormal"><span lang="EN-US">- Antonio Cicchetti, Mälardalen University<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Federico Ciccozzi, Mälardalen University<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Peter Clarke, Florida International University<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Fabio Costa, Federal University of Goias<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Martina De Sanctis, Gran Sasso Science Institute - GSSI<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Nikolaos Georgantas, INRIA<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Ta'Id Holmes, Google<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Mahdi Manesh, Porsche Digital GmbH<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Lionel Seinturier, University of Lille<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Rui Silva Moreira, Universidade Fernando Pessoa & INESC Porto<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Matthias Tichy, Ulm University<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Norha M. Villegas, Universidad Icesi, Cali, Colombia<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Manuel Wimmer, Johannes Kepler University Linz<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">- Uwe Zdun, University of Vienna<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">== Organizers ==<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal">- Sebastian Götz, Technische Universität Dresden, Germany<o:p></o:p></p>
<p class="MsoNormal"><span lang="EN-US">- Nelly Bencomo, Durham Universiy, UK<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="mso-fareast-language:DE">-- <br>
Dr.-Ing. </span><span style="mso-fareast-language:DE">Sebastian Götz <br>
Researcher (tenured) <br>
<br>
Technische Universität Dresden <br>
Fakultät für Informatik <br>
Institut für Software- und Multimediatechnik <br>
Lehrstuhl für Softwaretechnologie <br>
www: <a href="http://www.st.inf.tu-dresden.de/"><span style="color:blue">http://www.st.inf.tu-dresden.de/</span></a>
<br>
Mail: <a href="mailto:sebastian.goetz@acm.org"><span style="color:blue">sebastian.goetz@acm.org</span></a>
<br>
Kontakt: INF 2084 <br>
Tel.: +49 351 463 38346 <br>
<br>
jExam Group <br>
www: <a href="http://www.jexam.de"><span style="color:blue">http://www.jexam.de</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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