VaMoS: Variability Modelling of Software-Intensive Systems



Past:   Proceedings on DBLP

Future:  Post a CFP for 2020 or later   |   Invite the Organizers Email


All CFPs on WikiCFP

Event When Where Deadline
VaMoS 2019 Variability Modelling of Software-Intensive Systems
Feb 6, 2019 - Feb 8, 2019 Leuven, Belgium Nov 16, 2018
VAMOS 2018 12th International Workshop on Variability Modelling of Software-Intensive Systems
Feb 7, 2018 - Feb 9, 2018 Madrid, Spain Nov 2, 2017 (Oct 23, 2017)
VaMoS 2017 Variability Modelling of Software-Intensive Systems
Feb 1, 2017 - Feb 3, 2017 Eindhoven, the Netherlands Nov 4, 2016 (Oct 28, 2016)
VaMoS 2016 Variability Modelling of Software-Intensive Systems
Jan 27, 2016 - Jan 29, 2016 Salvador, Brazil Nov 9, 2015
VaMoS 2015 Ninth International Workshop on Variability Modelling of Software-intensive Systems (VaMoS)
Jan 21, 2015 - Jan 23, 2015 Hildesheim, Germany Nov 24, 2014
VAMOS 2014 International Workshop on Variability Modelling of Software-intensive Systems
Jan 22, 2014 - Jan 24, 2014 Nice Nov 10, 2013 (Nov 3, 2013)
VAMOS 2013 Seventh International Workshop on Variability Modelling of Software-Intensive Systems (VaMoS)
Jan 23, 2013 - Jan 25, 2013 Pisa, Italy Nov 4, 2012 (Oct 28, 2012)
VaMoS 2012 Sixth International Workshop on Variability Modelling of Software-Intensive Systems
Jan 25, 2012 - Jan 27, 2012 Leipzig, Germany Oct 30, 2011
VAMOS 2009 Fourth International Workshop on Variability Modelling of Software-Intensive Systems
Jan 27, 2010 - Jan 29, 2010 Pohang, South Korea Nov 10, 2009
VaMoS 2008 Second International Workshop on Variability Modelling of Software-intensive Systems
Jan 16, 2008 - Jan 18, 2008 Essen, Germany Nov 1, 2007

Present CFP : 2019

13th International Workshop on Variability Modelling of Software-Intensive Systems
February 6-8, 2019, Leuven, Belgium


- Abstract Submission: Oct. 24, 2018
- Full Paper Submission: Oct. 31, 2018


Variability has become a prominent facet of virtually every modern software-intensive system we engineer and use today. Variability can manifest itself in many different forms, ranging from platform support to configure a system aligned with the needs of a particular user or usage up to the ability of a system to autonomously reconfigure itself to maintain its quality goals while facing uncertain operating conditions. To effectively exploit and manage variability, it is crucial that it is treated as a first-class citizen throughout the life time of a system. Since its inception, the variability management community has devised many breakthroughs in the foundations that underly variability as well as its engineering principles and application to a broad variety domains and contexts.

The ever changing landscape of software-intensive systems raises new challenges to variability researchers and engineers. For example, machine learning techniques revolutionise decision making in various systems, in particular variability-intensive ones. The DeVops paradigm can exploit variability modelling and management when integrating features, code and tests in continuous integration and delivery cycles. The growing number of smart city applications that are currently rolled out necessarily need to rely on software that dynamically adapts itself when these systems face new situations. Variability can play a key role in managing this adaptivity in a trustworthy manner.

VaMoS 2019 aims to establish bridges between variability modelling communities and other fields, such as DeVops, Artificial Intelligence (AI), Self-Adaptation, and Internet-of-Things. To initiate such bridges, VaMoS will feature one panel on Variability and AI and invite for two other panels one via an open call. The VaMoS series aims to bring together researchers from different areas dedicated to mastering variability by presenting innovative solutions that tackle the open challenges, discuss tradeoffs and complementarities of various approaches, and demonstrate how stakeholders of different application domains can benefit for novel variability solutions. Topics include but are not limited to:

- Variability management throughout the life cycle
- Variability modelling and realisation
- Variability-driven runtime adaptation
- Variability and context-aware approaches
- Variability and quality requirements
- Variability and security
- Variability in continuous * (DevOps)
- Testing, formal reasoning and automated analysis on variability models
- Refactoring and evolution of variability intensive software systems
- Variability and current technologies (micro-services, cloud, edge, etc.)
- Variability and AI (machine learning, meta-heuristics, etc.)
- Variability in autonomous systems (autonomous cars, drones, etc.)
- Variability and blockchain technology
- Variability in the Internet-of-Things
- Variability and configuration management
- Variability mining and reverse engineering approaches
- Visualisation techniques for variability models and systems
- Software economic aspects of variability


We welcome the following types of submissions: Research papers describing original and evaluated contributions, empirical studies, and surveys; Research-in-progress papers describing emerging results, problem statements outlining open issues of theoretical or practical nature, and vision papers that look into the future of VaMoS; Artifact papers presenting test beds, tools and demonstrations, and important cases and data sets for the community; Panel proposals that define an exciting topic for a panel at VaMoS with 4 candidate panelists. Submissions should follow the ACM format and will be published by ACM, see website for submission details


Gilles Perrouin, UNamur, Belgium
Danny Weyns, KU Leuven, Belgium


Mathieu Acher, U. Rennes, Inria, CNRS, IRISA, France
Eduardo Almeida, Federal U. of Bahia, Brazil
Vander Alves, University of Brasilia, Brazil
Rami Bahsoon, U. of Birmingham, United Kingdom
Olivier Barais, U. Rennes, Inria, CNRS, IRISA, France Nelly Bencomo, Aston U., United Kingdom
David Benavides, University of Seville, Spain
Thorsten Berger, Chalmers | University of Gothenburg, Sweden
Stefan Biffl, TU Vienna, Austria
Goetz Botterweck, University of Limerick, Ireland
Radu Calinescu, York University, United Kingdom
Rafael Capilla, University Rey Juan Carlos, Spain
Philippe Collet, University of Nice, France
Maxime Cordy, UNamur, Belgium / SnT, U. of Luxembourg, Luxembourg
Xavier Devroey, TU Delft, Netherlands
Lidia Fuentes, U. Malaga, Spain
Barbara Gallina, Malardalen U., Sweden
Stefania Gnesi, ISTI-CNR, Italy
Iris Groher, Johannes Kepler U. Linz, Austria
Paul Gruenbacher, Johannes Kepler U. Linz, Austria
Patrick Heymans, UNamur, Belgium
Christian Kaestner, Carnegie Mellon U., USA
Timo Kherer, Humboldt-U. Berlin, Germany
Axel Legay, IRISA/Inria, France
Malte Lochau, TU Darmstadt, Germany
Roberto Erick Lopez-Herrejon, ETS, Canada
Kim Mens, UCLouvain, Belgium
Raffaela Mirandola, Politecnico di Milano, Italy
Mohammadreza Mousavi, University of Leicester, United Kingdom
Sarah Nadi, University of Alberta, Canada
Edson Oliveira Jr., State University of Maringá, Brazil
Clement Quinton, University of Lille, France
Rick Rabiser, Johannes Kepler U. Linz, Austria
Christoph Seidl, TU Braunschweig, Germany
Norbert Siegmund, Bauhaus-U. Weimar, Germany
Thomas Thuem, TU Braunschweig, Germany
Leopoldo Teixeira, Federal U. of Pernambuco, Brazil
Eddy Truyen, KU Leuven, Belgium
Maurice H. Ter Beek, ISTI-CNR, Italy
Dimitri Van Landuyt, KU Leuven, Belgium
Thomas Vogel, Humboldt-U. Berlin, Germany
Uwe Zdun, University of Vienna, Austria

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