[ecoop-info] Models at run.time (MRT13) at MODELS 2013 Call for papers

Nelly Bencomo nelly at acm.org
Fri Jun 14 13:32:33 CEST 2013

                          2nd  CALL FOR PAPERS
        8th International Workshop on Models at run.time
      Co-located with ACM/IEEE 16th International Conference on
      Model Driven Engineering Languages & Systems (MODELS 2013)
        September 329th - October 4th, 2013, Miami, FL, USA


                               Important Dates

                 Submissions of papers: July 15th, 2013
                 Notification:          August 23rd, 2013
                 Workshop date:         September 29th, 2013

We are witnessing the emergence of new classes of application that are highly 
complex, inevitably distributed, and operate in heterogeneous and rapidly 
changing environments. Examples of such applications include those from 
pervasive and Grid computing domains. These systems are required to be 
adaptable, flexible, reconfigurable and, increasingly, self-managing. Such 
characteristics make systems more prone to failure when executing and thus the 
development and study of appropriate mechanisms for runtime validation and 
monitoring is needed.

In the model-driven software development area, research effort has focused 
primarily on using models at design, implementation, and deployment stages of 
development. This work has been highly productive with several techniques now 
entering the commercialisation phase. The use of model-driven techniques for 
validating and monitoring run-time behaviour can also yield significant 
benefits. A key benefit is that models can be used to provide a richer 
semantic base for run-time decision-making related to system adaptation and 
other run-time concerns. For example, one can use models to help determine 
when a system should move from a consistent architecture to another consistent 
architecture. Model-based monitoring and management of executing systems can 
play a significant role as we move towards implementing the key self-* 
properties associated with autonomic computing.

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 build on the previous events where we have succeeded in 
building a community and bringing about an initial exploration of the core 
ideas of Models at Runtime and now seek: 
- experiences with actual implementations of the concept
- rationalisation of the various concepts into overall architectural 
- to make explicit the specific roles that models play at runtime
- impact on software engineering methodologies
- to continue to build a network of researchers in this emerging area, based 
 on the results of the earlier editions      

Workshop Format

The workshop participants will be selected based on their experience and ideas 
related to this new and emerging field. You are invited to apply for 
attendance by sending a full-paper (8-12 pages) or a position paper (5-6 pages)
in PDF. The paper must conform to the Springer LNCS formatting guidelines: 

(it is the same format of the Conference,
see conference website for more information). Submissions will be reviewed by 
at least 3 PC members. The authors will be notified about acceptance before 
the MODELS 2010 early registration deadline. Candidates for best papers (if 
finally chosen) can be just taken from the category of full-papers.

A primary deliverable of the workshop is a report that clearly outlines (1) 
the research issues and challenges in terms of specific research problems in 
the area, and (2) a synopsis of existing model-based solutions that target 
some well-defined aspect of monitoring and managing the execution of systems. 
Potential attendees are strongly encouraged to submit position papers that 
clearly identify research issues and challenges, present techniques that 
address well-defined problems in the area, and are supported by small demos.

The workshop aims to:

- Integrate and combine research ideas from the areas cited above.
- Provide a “state-of-the-research” assessment expressed in terms of research 
 issues, challenges, and accomplishments. This assessment can be used to guide 
 research in the area. 
- Continue to build a network of researchers in this area, building on the 
 previous editions. 
- Plan and promote further events on these topics.

We strongly encourage authors to address the following topics.  
Topics labelled with (*) are crucially important:
-	What a runtime model looks like and how does it evolve? (*)
-	How are the causal links with executing code realized? Difference with 
 computational reflection (*)
-	Models at runtime and software aging: does it help or hurt?
-	The role of 
models at run.time
in the software development process (*)
-	Models at runtime, the silver bullet for runtime assurance and V&V? 
-	Role of requirement at runtime, requirements reflection (*)
-	How are the abstractions tied to the types of adaptations supported? (*)
-	How do these abstractions evolve over time? (*)
-	Are new abstractions created during runtime? (*)
-	MDE at Runtime: Are MDE tools ready (performance, etc.) for more dynamic usages?
-	Examples of how models can be used to validate and verify the behaviour of 
 the system at runtime (*)
-	Compatibility (or tension) between different model-driven approaches
-	How do models at other phases of the SE lifecycle relate to the corresponding 
 runtime models?
-	How models at runtime can support large multi-disciplinary teams in open 
 innovation/continuous design?
-	Models at runtime and scalability: horizontally (managing large set of nodes) 
 and vertically (from the cloud to the sensors)
-	Small demos and tools that support the use of 
models at run.time


- Nelly Bencomo (main contact), INRIA, France
- Robert France, Colorado State University, USA
- Sebastian Götz, TU Dresden, Germany 
- Bernhard Rumpe, RWTH Aachen, Germany

Programme Committee (tbc.)  

Franck Chauvel, SINTEF, Norway
Peter J. Clark, Florida International University, USA
Fabio Costa, Federal University of Goias, Brazil 
Holger Giese, Universität Potsdam, Germany
Gang Huang, Peking University, China
Martin Gogolla, Universität Bremen, Germany
Jean-Marc Jézéquel, Triskell Team, IRISA, France 
Rui Silva Moreira, UFP & INESC, Portugal 
Brice Morin, SINTEF, Norway
Hausi A. Müller, University of Victoria, Canada
Bradley Schmerl, Carnegie Mellon University, USA
Hui Song, Trinity College Dublin, Ireland
Thaís Vasconcelos Batista, UFRN, Brasil

Nelly Bencomo

Lecturer in Computer Science
Aston University, Birmigham, UK

email:  nelly at acm.org

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