GL : Software Engineering

EVREF team

EVREF

Leader: Stéphane Ducasse

PRESENTATION MEMBERS THESES PUBLICATIONS

Presentation

Evolving large software systems is a challenge.

Keeping legacy systems active and relevant is still a really complex task. An aggravating challenge is that some of these systems can never stop (production lines, wafer production systems, auction managers, etc) and need to be updated while running at production sites. In addition, because the production environment is not the same as the development environment, the only way to spot and fix a bug is often by directly accessing software in production, while running. Supporting the evolution of such ever-running systems is an important challenge for our industry because it must deal with more and more changing requirements and the need for dynamic adaptation.

The objectives of EVREF are to study and support the continuous evolution of large software systems in a holistic manner following three main axes: (1) analyses and approaches for migration and evolution of existing (legacy) systems, (2) new tools to support daily evolution, and (3) infrastructure to build language runtimes to support software evolution, new tools, frugal systems, and security language features.

In the context of the first axis, EVREF proposes a specific research agenda with Berger-Levrault R&D.

Members

Permanent

Omar Abedelkader

Complétion de code pour les grands projets et les petits langages

Valentin Bourcier

Réduire le coût du debugging avec la première génération de debuggers orientés objet

Gabriel Darbord

Génération Automatique de Tests basée sur l'Apprentissage Automatique

Aless Hosry

Transformations des modèles pour modification automatique du code source

Sebastian Jordan Montano

Profileurs pour des logiciels plus frugaux

Soufyane Labsari

DSL et cartes scriptables pour la cartographie de système patrimoniaux

Nahuel Palumbo

Une Approche Dénérative de la Construction de Machines Virtuelles

Younoussa Sow

Migration de Fortran77/Esope vers Fortran2003

Iona Thomas

Plateforme et langage pour des données privées traçables et révocables

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