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DSPL 2016 : Dynamic Software Product Lines Variability at Runtime

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Link: http://sites.lero.ie/dspl2016
 
When Sep 16, 2016 - Sep 16, 2016
Where Augsburg - Germany
Submission Deadline Jul 4, 2016
Notification Due Jul 15, 2016
Final Version Due Jul 22, 2016
 

Call For Papers

9th International Workshop on Dynamic Software Product Lines Variability at Runtime (DSPL’16)
Augsburg (Germany), Friday 16 September 2016
------------------------------------------------------
http://sites.lero.ie/dspl2016

Important Dates for Paper Submissions
Submission Deadline (strict): July 4, 2016
Notification of Acceptance: July 15, 2016
Camera-Ready Version: July 22, 2016

Workshop Organizers
Jesper Andersson, Linnaeus University, Sweden
Rafael Capilla, Rey Juan Carlos University, Spain
Holger Eichelberger, University of Hildesheim, Germany

Workshop Goals
The concept of adaptation and self-adaptation of systems, in particular at runtime
has caught the attention of the research community at large, both inside the domain of SPL
as well as outside SPL in areas like models-at-runtime, self-adaptive systems,
ubiquitous computing, etc. Dynamic software product lines (DSPL) constitute an emerging
but promising research area where SPL concepts are entangled with runtime variability mechanisms,
context information and runtime adaptation. However, the challenge to create better and smarter
adaptable systems is still challenging. The workshop is intended as a highly interactive forum
using a discussant format and to provide a forum for the exchange of ideas, to establish cooperations,
and to bring industry and research together.

TOPICS: In this edition of DSPL series a renewed set of topics broaden the scope of the workshop
and covering other related areas in the following topics, but not limited to:

Organization of DSPL:
o Development approaches and organizational models to set a DSPL
o Comparison between SPL and DSPL models
o New activities required by a DSPL
o Upfront cost and post-deployment activities
Dynamic variability management:
o Managing runtime variants and variation points
o Runtime managers supporting variability
o Optimization of runtime variability solutions
o Variability constraints and dependencies managed at runtime
o Relation between pre-runtime and runtime variabilities, their properties and models
o Multiple binding times and rebinding after deployment
o Binding times in relation to different system’s operational models
o Dynamic library loading mechanisms
DSPL and software engineering:
o Runtime SPL requirements engineering
o Runtime SPL architecture analysis
o Dynamic component model for system of systems engineering
o Trade-off analysis between adaptability and other qualities
o Context-oriented features and runtime variability
o Tools supporting any aspect related to DSPL and dynamic variability approaches
o Collaborative features at runtime
DSPL application domains:
o Role of dynamic variability in specific application domains (e.g., Automotive and smart vehicles, Critical systems, Drones, Cloud systems, Robotics)
o Self-adaptive systems using dynamic variability techniques
o Context variability for IoT software
o Case studies
o Applications of self-adaptation

SUBMISSION
We solicit short, thought-provoking papers reporting work in progress, industrial experience,
and real-world examples. Full papers are also eligible and should report mature research results.
Papers should be in formatted according to the standard IEEE Computer Society Press
proceedings style guide, and submitted electronically in PDF format.
Papers should not exceed 6 (we recommend 4 pages for short versions).
Submissions should be submitted via:
https://easychair.org/conferences/?conf=dspl16.
Accepted papers of the workshop will be published in the IEEE FAS*W proceedings

Steering Committe
Mike Hinchey, Lero-the Irish Software Engineering Research Centre, Limerick, Ireland
Sooyong Park, Sogang University, South Korea
Klaus Schmid, University of Hildesheim, Germany

Program Committee:
Raian Ali, Bournemouth University, UK
Eduardo Almeida, Federal University of Bahia and RiSE, Brazil
David Benavides, University of Seville, Spain
Jan Bosch, Chalmers University, Sweden
Vijayan Sugumaran, Oakland University, USA & Sogang University, South Korea
In-Young Ko, KAIST, South Korea
Hassan Gomaa, George Mason University, USA
Jaejoon Lee, Lancaster University, UK
Pete Sawyer, Lancaster University, UK
Douglas C. Schmidt, Vanderbilt University, USA
Danny Weyns, KU Leuven, Belgium
Jason Mansell, Tecnalia, Spain
Vicente Pelechano, Technical University of Valencia, Spain
Lidia Fuentes, University of Málaga, Spain
Clément Quinton, University of Milano, Italy
Samuel Kounev, University of Würzburg, Germany
Patrick Heymans, University of Namur, Belgium
Kim Mens, University of Lovaine, Belgium

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