Models@run.time:  Important Dates   Call for Papers   Submission   Accepted Papers and Technical Programme   Proceedings  

Related Events: Models@runtime 2008   Models@runtime 2007   Models@runtime 2006   M-ADAPT @ ECOOP 07  


News

The Summary of the workshop is found here 

The following papers will appear in the final supplemental proceedings of the workshop.

Incremental Model Synchronization for Efficient Run-time Monitoring
by Thomas Vogel, Stefan Neumann, Stephan Hildebrandt, Holger Giese and Basil Becker

Generating Synchronization Engines between Running Systems and Their Model-Based Views
by Hui Song, Yingfei Xiong, Franck Chauvel, Gang Huang, Zhenjiang Hu and Hong Mei

(27/10/2009)

The IEEE special issue on models@runtime is on line. Visit the link for more info. (04/10/2009)



The proceedings of the workshop are on line. Visit the pages for more info. (29/09/2009)

The program of the workshop and accepted papers information is online. Visit the pages for more info. (16/09/2009)

Notifications of papers have been announced (01/09/2009)

NOTE: The abstract submission is still open. The required info is just useful for our own administrative duties (papers allocation, etc.) (30/07/2009)

IF YOU PLAN to submit a paper to this workshop please send a notice of intention to the main contact nelly@acm.org. This notice will help us prepare the organization of the review process.
Send the tentative title of your paper and the names of the authors. (13/07/2009)

The CfP will be released soon! (15/04/2009) CfP is here! (22/04/2009)
We will be at MODELS 2009.
The CfP will be released soon! (15/04/2009)

Motivation
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.

Goal
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@Runtime and now seek:
- experiences with actual implementations of the concept
- rationalisation of the various concepts into overall architectural perspectives
- to make explicit the specific roles that models play at runtime
- impact on software engineering methodologies
- to continue to assemble a network of researchers in this emerging area, building 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 paper (8-10 pages) in PDF or PS The paper 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). Submissions will be reviewed by at least 3 PC members. The authors will be notified about acceptance before the MoDELS 2009 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. Labelled research topics with (*) are crucially important:
- What a runtime model looks like and how does it evolve? (*)
- How can runtime models be maintained? (*)
- How can runtime models be validated?
- What abstractions over runtime phenomena are useful?
- 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? (*)
- How are the causal relationships with executing code realized? (*)
- What is the role of reflection in maintaining the causal connection between models and runtime system?
- The relevance and suitability of different model-driven approaches to monitoring and managing systems during runtime
- 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?
- Small demos and tools that support the use of models@run.time (*)