MegaMart2 ECSEL-JU

An scalable model-based framework for continuous development and runtime validation of complex systems


National Clusters

Funding (M €)

Industrial Case Studies

The Project in Brief

European industry faces stiff competition on the global arena. The electronic systems become more and more complex and call for modern engineering practices to tackle productivity and quality. The model-driven technologies promise significant productivity gains, which have been proven in several studies. However, these technologies need more development to scale for real-life industrial projects and provide advantages in runtime. MegaM@Rt brings the model-driven engineering to the next level in order to help European industry to reduce development and maintenance costs as well as to reinforce productivity and quality.
The overall approach of MegaM@Rt is to scale up the use of model-based techniques by offering proper methods and related tooling interacting between both design time and runtime, as well as to validate the designed and developed approach in concrete industrial cases involving complex systems. Thanks to the model-based method, different systems will be able to communicate through the entire development chain, and moreover it will be possible for systems in operation to feed back the collected data for continued development
MegaM@Rt will strengthen European scientific and technical leadership in the development of complex systems. MegaM@Rt targets the following main impact objectives:

  • Significantly increased productivity and quality of system development and shorten time-to-market for complex systems.
  • Reinforced European scientific and technological leadership in the design of complex systems.
  • Improved competitiveness of European companies that rely on the design and integration of complex systems in their products by reducing design and maintenance costs as well as the time-to-market.

Our Consortium

National clusters

MegaMart2 brings together participants from Czech Republic, Finland, France, Italy, Spain and Sweden

Industrial Case Studies

9 case studies will ensure that all MegaMart2 has a direct impact on the European Industry. They cover a variety of domains, including: flight, railway and train management systems, smart warehouses, short range communications and camera-vision intelligence among others


Each country brings in at least one university to make sure there are enough researcher to provide innovative solutions to MegaMart2 industrial challenges

Now all set for @hipeac with presentations and workshops from @MegaMart2_ECSEL @ECSEL_JU

If you attend @hipeac in #Valencia on tuesday don't forget to take a look at our workshop: MegaM@Rt2: The devops for embedded systems

MegaMart2 loves models! We're confident several of our partners will be attending @modelsconf (and of course also @ECMFA_Conf )

From major industry names such as @DeepMindAI, @Arm, and @XilinxInc to hot start-ups and scale-ups such as @MonetDB, @CerebrasSystems, @dividiti and @StreamHPC - #HiPEAC19 sponsors are at the forefront of computing systems

MegaMaRt2: The devops for embedded systems at @hipeac 2019 in #Valencia
#devops #embedded

IEEE Standards for #SmartCity Technologies {Infographic}

#CyberSecurity #5G #IoT #BigData @Fisher85M #Healthcare #M2M #smartgrid #fintech #AI #ML

Did you know...
… that the EU helped discover 7 planets? 🌝
… that planes may be running on solar fuel one day? ✈
… that 3D printing can be used to build houses? 🏠
All these EU-funded projects and much more in our #ResearchImpactEU brochure →

New ITEA Vice-chairman's blog post by @PHILetellier : "Beyond Industry 4.0: the impact of new, very innovative ITEA projects on product design 4.0" | #REFLEXION #productdesign #digitalloop #software #innovation |

Yves Gigase of @ECSEL_JU on stage at the #ECS Brokerage 2019 presenting #ECSELJU Calls 2019 & conditions to apply for funding. Curious to know more? Check our page for regular Calls updates

Latest @MegaMart2_ECSEL research results : A Contract-Based Approach to Scheduling and Verification of Dynamic Dataflow Networks

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