[ecoop-info] VAMOS 2019 - Call for Papers

Gilles Perrouin gilles.perrouin at unamur.be
Sat Sep 22 19:00:19 CEST 2018

						13th International Workshop on Variability Modelling of Software-Intensive Systems
								February 6-8, 2019, Leuven Belgium
									https://vamos2019.github.io/ <https://vamos2019.github.io/>


-  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

FNRS Research Associate
Computer Science Department - PReCISE
Namur Digital Institute - NaDI

T. +32 (0)81 724 981
gilles.perrouin at unamur.be <mailto:gilles.perrouin at unamur.be>
Université de Namur ASBL
Rue de Bruxelles 61 - 5000 Namur

Let’s respect the environment together.
Only print this message if necessary!

FNRS Research Associate
Computer Science Department - PReCISE
Namur Digital Institute - NaDI

T. +32 (0)81 724 981
gilles.perrouin at unamur.be <mailto:gilles.perrouin at unamur.be>
Université de Namur ASBL
Rue de Bruxelles 61 - 5000 Namur

Let’s respect the environment together.
Only print this message if necessary!

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