Towards the next generation of reactive model transformations on low-code platforms: three research lines

Low-Code Development Platforms have emerged as the next-generation, cloud-enabled collaborative platforms. These platforms adopt the principles of Model-Driven Engineering, where models are used as first-class citizens to build complex systems, and modeltransformations are employed to keep a consistent view between the different aspects of them. Due to the online nature of low-code platforms, users expect them to be responsive, to complete complex operations in a short time. To support such complex collaboration scenarios, the next-generation of low-code platforms must (��) offer a multi-tenant environment to manage the collaborative work of engineers, (����) provide a model processing paradigm scaling up to hundreds of millions of elements, and (������) provide engineers a set of selection criteria to choose the right model transformation enginein multi-tenant execution environments.In this paper, we outline three research lines to improve the performance of reactive model ransformations on low-code platforms, by motivating our research with a case study from a systems engineering domain.