TY  - JOUR
JF  - at - Automatisierungstechnik
PB  - De Gruyter
IS  - 11
SN  - 0178-2312
ID  - eprints2961
EP  - 802
N2  - Manufacturing systems and their control software exhibit a large number of variants, which evolve over time in order to meet changing functional and non-functional requirements. To handle the resulting complexity, we propose a multi-perspective modeling approach with different viewpoints regarding workflow, architecture and component behavior. We combine it with delta modeling to seamlessly capture variability and evolution by the same means on each of the viewpoints. We show how the separation in different viewpoints enables early performance analysis as well as code generation. The approach is illustrated using a case study.
UR  - http://www.degruyter.com/view/j/auto.2014.62.issue-11/auto-2014-1098/auto-2014-1098.xml
A1  - Kowal, Matthias
A1  - Prehofer, Christian
A1  - Schaefer, Ina
A1  - Tribastone, Mirco
Y1  - 2014///
VL  - 62
KW  - Model-driven Development; Variability; Evolution; Performance Analyses
AV  - none
TI  - Model-based Development and Performance Analysis for Evolving Manufacturing Systems
SP  - 794
ER  -