  Domain specific languages (DSLs) allow domain experts to model parts of the
system under development in a problem-oriented notation that is well-known in
the respective domain. The introduction of a DSL is often accompanied the
desire to transform its instances. Although the modeling language is domain
specific, the transformation language used to describe modifications, such as
model evolution or refactoring operations, on the underlying model, usually is
a rather domain independent language nowadays. Most transformation languages
use a generic notation of model patterns that is closely related to typed and
attributed graphs or to object diagrams (the abstract syntax). A notation that
reflects the transformed elements of the original DSL in its own concrete
syntax would be strongly preferable, because it would be more comprehensible
and easier to learn for domain experts. In this paper we present a
transformation language that reuses the concrete syntax of a textual modeling
language for hierarchical automata, which allows domain experts to describe
models as well as modifications of models in a convenient, yet precise manner.
As an outlook, we illustrate a scenario where we generate transformation
languages from existing textual languages.
