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DIVERSE Research team

Diversity-centric Software Engineering

Team presentation

Our main objective is to automatically compose and synthesize software diversity from design to runtime to address unpredictable evolutions of software-intensive systems. We address this objective through 4 main research axis: software language engineering, software variability, software adaptation and software diversification.

Research themes

The research in DiverSE is organized around 4 research axis:

  • Software Language Engineering to handle the diversity of languages used by the stakeholders involved in the construction of software-intensive systems
  • Software Product Lines to address the diversity of features required by the different customers of these systems
  • Distributed architecture and deployment to handle the diversity of runtime environments in which software has to run and adapt
  • Software diversity and testing to enhance the resilience of software.

These four axis shares and leverage the scientific and technological results developed in the area of model-driven engineering in the last decade. This means that all our research activities are founded on sound abstractions to reason about specific aspects of software systems, compose different perspectives and automatically generate parts of the system.

International and industrial relations

International collaborations

  • SINTEF, ICT (Norway):  Model-driven systems development for the construction of distributed, heterogeneous applications. We collaborate since 2008 and are currently in two FP7 projects together.
  • Universitée du Luxembourg, (Luxembourg): Models@runtime for dynamic adaptation and multi-objective elasticity in cloud management; model-driven development.
  • KTH: Anti-fragility, DevOps
  • CWI: model-driven language engineering
  • University of Namur: Software Product Line Engineering

Industrial collaborations

  • Thales: systems engineering
  • Obeo: domain specific modeling
  • Orange: secure software engineering
  • Nokia: Internet of Things

Keywords: Software engineering Modeling Variability Diversity Adaptation Languages