Call for Papers
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.
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.
Topics of Interest
Papers on models@run.time can relate (but are not 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 1st international workshop on executable modeling).
Submission
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 (8 pages + 1 references) on original research, lessons learned from realizing an approach or experiences on transferring a research prototype into practice,
- a position paper (6 pages + 1 references) covering a well-argued vision or position,
- a demo paper (2 pages) describing a demonstration to be shown at the workshop or
- 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)
All papers must conform to the double-column IEEE formatting guidelines and will be published via CEUR-WS.
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 2017 early registration deadline.
You can submit your papers via EasyChair here.
Organizers
- Sebastian Götz (main contact) (web), Technische Universität Dresden, Germany
- Nelly Bencomo (web), Aston Universiy, UK
- Kirstie L. Bellman (web), The Aerospace Organisation, US
- Gordon Blair (web), Lancaster University, UK
Program Committee
t.b.c.
- Thais Batista, Federal University of Rio Grande do Norte, Brazil
- Franck Chauvel, SINTEF, Norway
- Peter Clarke, Florida International University, US
- Mahdi Derakhshanmanesh, University of Koblenz-Landau, Germany>
- Antonio Filieri, Imperial College, UK
- Nikolaos Georgantas, INRIA, France
- Ta’id Holmes, Deutsche Telekom AG, Germany
- Gang Huang, Peking University, China
- Chris Landauer, The Aerospace Corporation, USA
- Rui Silva Moreira, Universidade Fernando Pessoa & INESC Porto, Portugal
- Thomas Vogel, Universität Potsdam, Germany
- Arnor Solberg, SINTEF, Norway
- Lionel Seinturier, Uni. Lille, France
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