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:
- 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,
- 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
- to discuss the applicability of research results on models@run.time to
industrial case studies.
Topics of Interest
We are particularly interested in work covering the following non-exhaustive
list of topics:
- languagues and formalisms for runtime representations
- approaches realizing the causal connection between the computing system and
its reflective layer
- applications and case studies involving runtime representations
- a general discourse on
- the need for and characteristics of runtime representations
- the properties of causal connections (e.g., temporal properties, uncertainty,
etc.)
- interdisciplinary approaches to models@run.time, as for example the mutual
influence (or coercion) of socio-technical systems
- How runtime models can address basic principles of areas such as game theory.
- Distributed models@run.time, i.e., having multiple, interacting systems, each
having its own runtime model and in general, issues of models at runtime in
large scale systems
- Incomplete, partial models
- Impacts of uncertainty
- Approaches to real-time model-building, refinement
- Relevant theory on transactions
- Relevant lessons learned from bio-inspired, socially-inspired, unconventional
systems
- Modular models@run.time, i.e., approaches to improve the modularity of
models@run.time systems for better reuse
- Co-evolving models@run.time, i.e., systematic approaches to synchronize
multiple, interacting models@run.time systems
- For those papers focusing on executable models at runtime, we encourage the
investigation of how the feedback from the systems are reflected in the
executable models (so that they have causal (bi-)connections with the
systems)
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
All papers must conform to the double-column IEEE formatting guidelines. At
least three PC members will review each submission. The authors will be
notified about acceptance before the MODEL 2016 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
- Franck Chauvel, SINTEF, Norway
- Siobhan Clarke, Trinity College Dublin, Ireland
- Fabio M. Costa, Uni. Federal de Goias, Brazil
- Mahdi Derakhshanmanesh, MHP - A Porsche Company, Germany
- Antonio Filieri, Imperial College, UK
- Francois Fouquet, Uni. Luxembourg, Luxembourg
- Nikolaos Georgantas, INRIA, France
- Holger Giese, Universität Potsdam, Germany
- Ta'id Holmes, Deutsche Telekom AG, Germany
- Gang Huang, Peking University, China
- Chris Landauer, The Aerospace Corporation, USA
- Peter Lewis, Aston University, UK
- Lionel Seinturier, Uni. Lille, France
- Arnor Solberg, SINTEF, Norway
- Hui Song, SINTEF, Norway
- Thomas Vogel, Universität Potsdam, Germany
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