Thursday July 29, 2021

Jean-Marc Jezequel

Campus de Beaulieu,
University of Rennes,
F-35042 Rennes Cedex, France
Phone :+33 299 847 192, Fax :+33 299 842 532
Email: jezequel@irisa.fr
Home page: http://www.irisa.fr/prive/jezequel/
Dr Jezequel

Prof. Jean-Marc Jezequel received an engineering degree in Telecommunications from the ENSTB in 1986, and a Ph.D. degree in Computer Science from the University of Rennes, France, in 1989. He first worked in Telecom industry (at Transpac) before joining the CNRS (Centre National de la Recherche Scientifique) in 1991. Since October 2000, he is a Professor at the University of Rennes, leading an INRIA research team called Triskell. His interests include model driven software engineering based on object oriented technologies for telecommunications and distributed systems. He is involved in several international collaborations, including the Artist2 Network of Excellence on Embedded Systems Design, and the AOSD-Europe Network of Excellence on Aspect-Oriented Software Development. He is the author of the books "Object-Oriented Software Engineering with Eiffel" and "Design Patterns and Contracts" (Addison-Wesley 1996 and 1999), and of more than 100 publications in international journals and conferences. He is a member of the steering committee of the MODELS and AOSD conference series. He also served on the editorial boards of IEEE Transactions on Software Engineering and on the Journal on Software and System Modeling: SoSyM and the Journal of Object Technology: JOT.

  • Head of Inria's Triskell project-team, doing research on Model Driven Engineering of Software Product Lines with a special focus on the domain of component based reactive and large scale distributed systems with quality of service constraints, including reliability, performance, timeliness etc.
  • In this context, we are building the Kermeta (Kernel Meta-modeling) environment. It defines a core metamodeling toolkit for building model driven specific tools, such as model level aspect weavers, product line modeling and derivation tools, model based test cases generation, etc.

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This material is based in part upon work supported by the National Science Foundation under Grant Number OISE-0730065. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. © 2007 Florida International University