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Bringing Intelligence to Sociotechnical IoT Systems: Modeling Opportunities and Challenges

Benoit Combemale 1, 2
1 DiverSe - Diversity-centric Software Engineering
Inria Rennes – Bretagne Atlantique , IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL
2 IRIT-SM@RT - Smart Modeling for softw@re Research and Technology
IRIT - Institut de recherche en informatique de Toulouse
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Conference papers
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https://hal.inria.fr/hal-02285737
Contributor : Benoit Combemale <>
Submitted on : Friday, September 13, 2019 - 9:17:30 AM
Last modification on : Thursday, January 7, 2021 - 4:35:16 PM
Long-term archiving on: : Saturday, February 8, 2020 - 5:25:14 AM

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  • HAL Id : hal-02285737, version 1

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UNIV-TLSE3 | UNIV-RENNES1 | CNRS | SMS | UNIV-TLSE2 | IRISA | UR1-UFR-ISTIC | CENTRALESUPELEC | INRIA | UNIV-RENNES | UT1-CAPITOLE | IRIT | IRIT-SMART | INSA-RENNES

Citation

Benoit Combemale. Bringing Intelligence to Sociotechnical IoT Systems: Modeling Opportunities and Challenges. MDE4IoT 2019 - 3nd International Workshop on Model-Driven Engineering for the Internet-of-Things, Sep 2019, Munich, Germany. pp.1-2. ⟨hal-02285737⟩

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