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 firstname.lastname@example.org workshop are:
a) to foster work on novel topics covering fundamental as well as applied research on email@example.com 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 firstname.lastname@example.org 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 email@example.com 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 firstname.lastname@example.org, i.e., having multiple, interacting systems, each having an own runtime model
- Modular email@example.com, i.e., approaches to improve the modularity of firstname.lastname@example.org systems
- Co-evolving email@example.com, i.e., systematic approaches to synchronize multiple, interacting firstname.lastname@example.org systems
- No papers on executable models, unless they are causally (bi-)connected to a running system (else consider to submit to the co-located international workshop on executable modeling).
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
- 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 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 sigconf format provided by ACM (see template for details).
Artifacts will be published in ReMoDD, the repository for model-driven development (http://www.remodd.org).
At least three PC members will review each submission. The authors will be notified about acceptance before the MODELS 2018 early registration deadline.
You can submit your papers via EasyChair here.
All papers will be published on CEUR-WS.org in a joint workshop proceedings of all MODELS'18 workshops.
- 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
- 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
- Nikolaos Georgantas, INRIA, France
- 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