|| Quality characteristics of a software system such as performance or reliability can determine
its success or failure. In traditional software engineering, these characteristics can
only be determined when parts of the system are already implemented and past the design
process. Computer simulations allow to determine estimations of quality characteristics
of software systems already during the design process. Simulations are build to analyse
certain aspects of systems. The representation of the system is specialised for the specific analysis. This specialisation often results in a monolithic design of the simulation.
Monolithic structures, however, can induce reduced maintainability of the simulation and
decreased understandability and reusability of the representations of the system. The
drawbacks of monolithic structures can be encountered by the concept of modularisation,
where one problem is divided into several smaller sub-problems. This approach allows an
easier understanding and handling of the sub-problems.
In this thesis an approach is provided to describe the coupling of newly developed
and already existing simulations to a modular simulation. This approach consists of a
Domain-Specific Language (DSL) developed with model-driven technologies. The DSL
is applied in a case-study to describe the coupling of two simulations. The coupling of
these simulations with an existing coupling approach is implemented according to the
created description. An evaluation of the DSL is conducted regarding its completeness to
describe the coupling of several simulations to a modular simulation. Additionally, the
modular simulation is examined regarding the accuracy of preserving the behaviour of the
monolithic simulation. The results of the modular simulation and the monolithic version
are compared for this purpose. The created modular simulation is additionally evaluated
in regard to its scalability by analysis of the execution times when multiple simulations
are coupled. Furthermore, the effect of the modularisation on the simulation execution
times is evaluated.
The obtained evaluation results show that the DSL can describe the coupling of the two
simulations used in the case-study. Furthermore, the results of the accuracy evaluation
suggest that problems in the interaction of the simulations with the coupling approach exist.
However, the results also show that the overall behaviour of the monolithic simulation is
preserved in its modular version. The analysis of the execution times suggest, that the
modular simulation experiences an increase in execution time compared to the monolithic
version. Also, the results regarding the scalability show that the execution time of the
modular simulation does not increase exponentially with the number of coupled simulations.