TY  - JOUR
A1  - Henkler, Stefan
A1  - Oberthuer, Simon
A1  - Giese, Holger
A1  - Seibel, Andreas
T1  - Model-driven runtime resource predictions for advanced mechatronic systems with dynamic data structures
JF  - Computer systems science and engineering
N2  - The next generation of advanced mechatronic systems is expected to enhance their functionality and improve their performance by context-dependent behavior. Therefore, these systems require to represent information about their complex environment and changing sets of collaboration partners internally. This requirement is in contrast to the usually assumed static structures of embedded systems. In this paper, we present a model-driven approach which overcomes this situation by supporting dynamic data structures while still guaranteeing that valid worst-case execution times can be derived. It supports a flexible resource manager which avoids to operate with the prohibitive coarse worst-case boundaries but instead supports to run applications in different profiles which guarantee different resource requirements and put unused resources in a profile at other applications' disposal. By supporting the proper estimation of worst case execution time (WCET) and worst case number of iteration (WCNI) at runtime, we can further support to create new profiles, add or remove them at runtime in order to minimize the over-approximation of the resource consumption resulting from the dynamic data structures required for the outlined class of advanced systems.
KW  - Model-Driven Engineering
KW  - Safety Critical Systems
KW  - Dynamic Data Structures
KW  - Flexible Resource Manager
KW  - Runtime WCET Analysis
Y1  - 2011
SN  - 0267-6192
VL  - 26
IS  - 6
SP  - 505
EP  - 518
PB  - IOP Publ. Ltd.
CY  - Leicester
ER  - 
TY  - JOUR
A1  - Gabrysiak, Gregor
A1  - Giese, Holger
A1  - Seibel, Andreas
T1  - Towards next-generation design thinking II : virtual muti-user software prototypes
Y1  - 2012
ER  - 
TY  - JOUR
A1  - Gabrysiak, Gregor
A1  - Giese, Holger
A1  - Seibel, Andreas
T1  - Towards next generation design thinking : scenario-based prototyping for designing complex software systems with multiple users
Y1  - 2011
SN  - 978-3-642-13756-3
ER  - 
TY  - JOUR
A1  - Seibel, Andreas
A1  - Neumann, Stefan
A1  - Giese, Holger
T1  - Dynamic hierarchical mega models : comprehensive traceability and its efficient maintenance
N2  - In the world of model-driven engineering (MDE) support for traceability and maintenance of traceability information is essential. On the one hand, classical traceability approaches for MDE address this need by supporting automated creation of traceability information on the model element level. On the other hand, global model management approaches manually capture traceability information on the model level. However, there is currently no approach that supports comprehensive traceability, comprising traceability information on both levels, and efficient maintenance of traceability information, which requires a high-degree of automation and scalability. In this article, we present a comprehensive traceability approach that combines classical traceability approaches for MDE and global model management in form of dynamic hierarchical mega models. We further integrate efficient maintenance of traceability information based on top of dynamic hierarchical mega models. The proposed approach is further outlined by using an industrial case study and by presenting an implementation of the concepts in form of a prototype.
Y1  - 2010
UR  - http://www.springerlink.com/content/109378
U6  - https://doi.org/10.1007/s10270-009-0146-z
SN  - 1619-1366
ER  -