MRT 2018: The 13th International Workshop on Models@run.time 2018

October 14, 2018 in Copenhagen, Denmark

Call for Papers

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