TY  - JOUR
A1  - Vogel, Thomas
A1  - Giese, Holger
T1  - Model-Driven engineering of self-adaptive software with EUREMA
T2  - ACM transactions on autonomous and adaptive systems
N2  - The development of self-adaptive software requires the engineering of an adaptation engine that controls the underlying adaptable software by feedback loops. The engine often describes the adaptation by runtime models representing the adaptable software and by activities such as analysis and planning that use these models. To systematically address the interplay between runtime models and adaptation activities, runtime megamodels have been proposed. A runtime megamodel is a specific model capturing runtime models and adaptation activities. In this article, we go one step further and present an executable modeling language for ExecUtable RuntimE MegAmodels (EUREMA) that eases the development of adaptation engines by following a model-driven engineering approach. We provide a domain-specific modeling language and a runtime interpreter for adaptation engines, in particular feedback loops. Megamodels are kept alive at runtime and by interpreting them, they are directly executed to run feedback loops. Additionally, they can be dynamically adjusted to adapt feedback loops. Thus, EUREMA supports development by making feedback loops explicit at a higher level of abstraction and it enables solutions where multiple feedback loops interact or operate on top of each other and self-adaptation co-exists with offline adaptation for evolution.
KW  - Design
KW  - Languages Model-driven engineering
KW  - modeling language
KW  - models at runtime
KW  - model interpreter
KW  - self-adaptive software
KW  - feedback loops
KW  - layered architecture
KW  - software evolution
Y1  - 2014
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/38320
SN  - 1556-4665
SN  - 1556-4703
VL  - 8
IS  - 4
PB  - Association for Computing Machinery
CY  - New York
ER  -