Daniel Seybold, Jörg Domaschka, Alessandro Rossini, Christopher B. Hauser, Frank Griesinger, Athanasios Tsitsipas

Model-drivenengineering promotes models and modeltrans-

formations as the primary assets in software development.

The models@run-time approach provides an abstract rep-

resentation of a system at run-time, whereby changes in

the model and the system are constantly reflected on each

other. In this paper, we report on more than three years

of experience with realising models@run-time in scalable

cloud scenarios using a technology stack consisting of the

Eclipse Modelling Framework (EMF) and Connected Data

Objects(CDO).We establish requirements for the three roles

domain-specific language (DSL) designer, developer, and

operator, and compare them against the capabilities of EM-

F/CDO. It turns out that this technology stack is well-suited

for DSL designers, but less recommendable for developers

and even less suited for operators. For these roles, we experi-

enced a steep learning curve and several lacking features that

hinder the implementation of models@run-time in scalable

cloud scenarios. Performance experiences show limitations

for write heavy scenarios with an increasing amount of total

elements. While we do not discourage the use of EMF/CDO

for such scenarios, we recommend that its adoption for sim-

ilar use cases is carefully evaluated until this technology

stack has realised our wish list of advanced features.

https://doi.org/10.1145/2997364.2997380