MegaM@Rt2 EU Project: Open Source Tools for Mega-Modelling at Runtime of CPSs Jesus Gorro˜ nogoitia Cruz 1 , Andrey Sadovykh 2(B ) , Dragos Truscan 3 , Hugo Bruneliere 4 , Pierluigi Pierini 5 , and Lara Lopez Mu˜ niz 1 1 ATOS, Madrid, Spain {jesus.gorronogoitia,lara.lopez}@atos.net 2 Innopolis University, Innopolis, Russia a.sadovykh@innopolis.ru 3 ˚ Abo Akademi University, Turku, Finland dragos.truscan@abo.fi 4 IMT Atlantique, LS2N (CNRS) & ARMINES, Nantes, France hugo.bruneliere@imt-atlantique.fr 5 Intecs Solutions S.p.A., Rome, Italy pierluigi.pierini@intecs.it Abstract. In this paper, we overview our experiences of developing large set of open source tools in ECSEL JU European project called MegaM@Rt2 whose main objective is to propose a scalable model-based framework incorporating methods and tools for the continuous develop- ment and runtime support of complex software-intensive Cyber-Physical Systems (CPSs). We briefly present the MegaM@Rt2 concepts, discuss our approach for open source, enumerate tools and give an example of a tools selection for a specific industrial context. Our goal is to intro- duce the reader with open source tools for the model-based engineering of CPSs suitable for diverse industrial applications. Keywords: Model-driven engineering · Model-based system engineering · Cyber-Physical Systems · Open source · Tools 1 Introduction MegaM@Rt2 is a three-years project, which started in April 2017 [1, 7] and which is funded by European Components and Systems for European Leadership Joint Undertaking (ECSEL JU) under the H2020 European program. The main goal of MegaM@Rt2 is to create an integrated framework incorporating scalable meth- ods and tools for continuous system engineering and runtime validation and veri- fication (V&V). The framework addresses the needs of the 8 case study providers This work has received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 737494. This Joint Undertak- ing receives support from the European Union’s Horizon 2020 research and innovation programme and Sweden, France, Spain, Italy, Finland, the Czech Rep. c  IFIP International Federation for Information Processing 2020 Published by Springer Nature Switzerland AG 2020 V. Ivanov et al. (Eds.): OSS 2020, IFIP AICT 582, pp. 183–189, 2020. https://doi.org/10.1007/978-3-030-47240-5_18