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MDPLE 2012 : 3rd International Workshop on Model-Driven Product Line Engineering


When Jul 2, 2012 - Jul 2, 2012
Where Lyngby, Denmark
Submission Deadline Apr 16, 2012
Notification Due May 14, 2012
Final Version Due May 30, 2012
Categories    model-driven engineering   software product lines

Call For Papers


MDPLE 2012 - Call for Papers
3rd International Workshop on
Model-Driven Product Line Engineering

held in conjunction with ECMFA 2012
Lyngby, Denmark, 2nd July 2012

Workshop website:

Workshop Summary and Goals
The fundamental premise of product line engineering (PLE) is that the investment in a family of products pays off later by allowing systematic, efficient derivation of products. This should be automated as much as possible, which can be achieved via model-driven engineering (MDE) techniques.
Research in PLE and MDE has many intersections. PLE leverages MDE to specify variability, domain concepts, configurations and more. (Semi-) automated product derivation requires mappings between the models on different abstraction layers and model transformations to derive an implementation from a configuration.
In addition, latest research shows the increasing need for concepts to deal with very large and evolving systems. Product lines can no longer rely on an immutable scope but need to be considered as evolving systems which can span over organizational boundaries. Thus, there is a need to investigate latest concepts from MDE like model-driven evolution and co-evolution, consistency management, multi-paradigm modelling, etc.
In this workshop we aim to bring together researchers and practitioners to foster the exchange of concepts and ideas between them to address these challenges.

Workshop Topics
We are interested in the application of concepts from MDE to Product Line Engineering, including (but not limited to):
* Modelling of software product lines
* Variability modelling
* Evolution of product lines
* Complexity handling and scalability
* Automated and interactive tool-support
* Feature-oriented / Aspect-oriented approaches
* Multiple binding time and run-time variability
* Advanced approaches and process models (e.g.. multiple product lines and organisations)
* Integrated handling of multiple models
* Variability-aware validation approaches

We explicitly encourage submission of case studies and experience reports from industry where such techniques have been applied in industrial practice and on a larger scale.

Important Dates
Paper submission: 16th April 2012
Notification of acceptance: 14th May 2012
Camera-ready version: 30th May 2012
Workshop: 2nd July 2012

We are seeking for two types of submissions:
* Regular papers (max. 12 pages) presenting original research and/or experience reports and
* Short papers (max. 6 pages) describing ongoing research, new results, and future trends.

All papers submitted to the workshop must be unpublished original work and must not have been submitted anywhere else for publication. Submissions will be selected based on the relevance to the workshop topics and the suitability to trigger discussions. Submissions should be submitted as PDF in Springer LNCS style via
under the track "Model-driven Product Line Engineering". Accepted papers will be published in a long-term archive chosen by the main conference, either ACM DL or CEUR proceedings (see

Program Committee
* Jan Bosch, Chalmers University of Technology, SE
* Manfred Broy, TU Munich, DE
* Anders Caspar, Ericsson, SE
* Deepak Dhungana, Siemens CT, AT
* Herman Hartmann, University of Groningen, NL
* Oystein Haugen, Univ. of Oslo and SINTEF, NO
* Dong Li, FISCAN, CN
* Roberto Lopez-Herrejon, JKU Linz, AT
* Linda Northrop, SEI, US
* Richard Paige, University of York, UK
* Rick Rabiser, JKU Linz, AT
* Juha E. Savolainen, Danfoss Power Electronics, DK
* Klaus Schmid, University of Hildesheim, DE
* Steffen Thiel, Furtwangen University of Applied Sciences, DE
* Salva Trujillo, IKERLAN, ES
and the workshop organisers.

* Goetz Botterweck, Lero, Univ. of Limerick, IE
* Andreas Pleuss, Lero, Univ. of Limerick, IE
* Julia Rubin, IBM Haifa Research Lab, IL
* Andreas Rummler, SAP, DE

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