13th International Workshop on Models@run.time

MRT 2018


Mathematical Analysis



Call for Papers
13th International Workshop on Models@run.time
In conjunction with MODELS 2018
Copenhagen, Denmark, 14.-19. October 2018
https://modelsconf2018.github.io/
Important Dates (AoE)
Deadline Abstracts: Tuesday, July 10th
Deadline Submission: Tuesday, July 17th
Notification of acceptance: Tuesday, August 14th
Workshop at MODELS: Sunday, October 14th
Motivation
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.
Goal
The objectives of this year’s edition of the models@run.time workshop are:
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,
b) to bring together researchers from the model-driven software development
community of different specialized areas including model evolution, model
transformation, model validation and multi-paradigm modeling and
c) to discuss the applicability of research results on models@run. time to
industrial case studies.
Moreover, we plan to use the workshop as a meeting place for the community and
want to collect and classify research results of the past 10 years for an
overview paper of the maturing research area.
Workshop format
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 (10 pages) on original research, lessons learned from
realizing an approach or experiences on transferring a research prototype into
practice,
- a position paper (6 pages) covering a well-argued vision or position,
- a demo paper (2 pages) describing a demonstration to be shown at the
workshop,
- an artifact paper (2 pages) together with the artifact, which is of use to
the community (e.g., a reusable case study or a challenging example) or
- a short motivation (max. 100 words) to give a 5-minute lightning talk, to
introduce yourself to the community at the end of the first session of the
workshop.
All papers must conform to the Springer LNCS formatting guidelines:
http://www.springer.com/computer/lncs (it is the same format of the Conference,
see conference website for more information). Artifacts will be published in
ReMoDD, the repository for model-driven development
(http://www.cs.colostate. edu/remodd/v1/). At least three PC members will
review each submission. The authors will be notified about acceptance before
the MODELS 2018 early registration deadline.
Topics of Interest
Papers can relate (but aren't limited) to the following domains:
- Big Data: application of models@runtime to reflect and adapt the architecture
of big data applications
- Cyber-physical Systems: hybrid runtime models
- Business Processes: runtime models of (business) workflows
- Cloud Computing: runtime models for, e.g., multi-tenant systems
- Self-adaptive and self-organizing systems in general
We strongly encourage authors to address the following topics in their papers:
- 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)
- Distributed models@run.time, i.e., having multiple, interacting systems,
each having an own runtime model
- Modular models@run.time, i.e. , approaches to improve the modularity of
models@run.time systems
- Co-evolving models@run.time, i. e. , systematic approaches to synchronize
multiple, interacting models@run.time systems
- No papers on executable models, unless they are causally (bi-)connected to
a running system (else consider to submit to the co-located workshop on
executable modeling).
Organizers
Sebastian Götz (main contact), TU Dresden, Germany
Nelly Bencomo, Aston University, UK
Kirstie Bellman, Topcy House Consulting, US
Gordon Blair, Lancaster University, UK
Program Committee (tentative)
Mahdi Derakhshanmanesh, MHP Management- und IT-Beratung GmbH, Germany
Peter J. Clark, Florida International University, USA
Fabio Costa, Federal University of Goias, Brazil
Antonio Filieri, Universität Stuttgart, Germany
Holger Giese, Universität Potsdam, Germany
Ta’id Holmes, Deutsche Telekom AG, Germany
Gang Huang, Peking University, China
Rui Silva Moreira, UFP & INESC, Portugal
Matthias Tichy, Uni. Gothenborg, Germany
Mario Trapp, Fraunhofer IESE, Germany
Thaís Vasconcelos Batista, UFRN, Brasil
Thomas Vogel, Universität Potsdam, Germany
Siobhan Clarke, Trinity College Dublin, Ireland
Kurt Geihs, Universität Kassel, Germany
Christopher Landauer, Topcy House Consulting, US
Lionel Seinturier, University of Lille, France
Carlos, Cetina, Universidad San Jorge, Spain
Uwe Zdun, University of Vienna, Austria
Further Information
Web site: http://st.inf.tu-dresden.de/MRT18/
Easychair: https://easychair.org/conferences/?conf=mrt18
Contact: Sebastian Götz (sebastian.goetz@acm.org)