run.time 2019 - 14th International Workshop on Models@run.time

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-AT-run.time workshop are:
a) to foster work on novel topics covering fundamental as well as
applied research on models-AT-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-AT-run.time
to industrial case studies.
A literature survey on models-AT-run.time has been published in the
Software and Systems Modelling Journal early this year. As a result,
this year, we (i) strengthen the focus of the workshop on new hot
topics, which are at an early stage of research, and call for new types
of submissions as described below.
Papers can relate (but aren't limited) to the following domains:
- Big Data: application of models-AT-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-AT-run.time, i.e., having multiple, interacting systems,
each having an own runtime model
- Modular models-AT-run.time, i.e. , approaches to improve the modularity of
models-AT-run.time systems
- Co-evolving models-AT-run.time, i. e. , systematic approaches to synchronize
multiple, interacting models-AT-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).
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SUBMISSION INFORMATION
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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 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)
ORGANIZATION
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Sebastian Götz (main contact), TU Dresden, Germany
Nelly Bencomo, Aston University, UK
Kirstie Bellman, Topcy House Consulting, US
Gordon Blair, Lancaster University, UK