Software reuse: architecture, process and organization for business success
Software reuse: architecture, process and organization for business success
Generative programming: methods, tools, and applications
Generative programming: methods, tools, and applications
Concepts and Guidelines of Feature Modeling for Product Line Software Engineering
ICSR-7 Proceedings of the 7th International Conference on Software Reuse: Methods, Techniques, and Tools
Coping with variability in model-based systems engineering: an experience in green energy
ECMFA'10 Proceedings of the 6th European conference on Modelling Foundations and Applications
Using higher-order transformations to derive variability mechanism for embedded systems
MODELS'09 Proceedings of the 2009 international conference on Models in Software Engineering
Automotive model-driven development and the challenge of variability
Proceedings of the 16th International Software Product Line Conference - Volume 1
First-class variability modeling in Matlab/Simulink
Proceedings of the Seventh International Workshop on Variability Modelling of Software-intensive Systems
A classification of modeling variability in simulink
Proceedings of the Eighth International Workshop on Variability Modelling of Software-Intensive Systems
| Hi-index | 0.00 |
Model-based development is supposed to improve the development efficiency by raising the abstraction level and generating applications instead of manually coding the application in low level languages like C. One of the successful incarnations of this idea is the MATLAB Simulink tool chain. These tools are now widely used in the automotive industry not only to simulate control devices but also to generate product quality code from it. Like with traditional concepts reuse of created models is an issue. When this can be done efficiently, an additional level of effort reduction (and quality improvement) will be achieved. While MATLAB Simulink in combination with code generators provides good support for creating models for single application, and libraries of models, it does not provide sufficient support for more complex reuse scenarios with fine grained variations across the model(s). This paper will extend the approach developed by an automotive car manufacturer to address these issues. After a discussion of the basic concept the paper will put a special focus on support for flexible binding times since this is one of the crucial issues for reusing models across different projects with different need for run-time switchable variations (development/testing) and static decisions for product generation (resource efficiency in terms of code size and run-time). A concrete application supporting the deployment of these concepts in a project, developing mass production control units, is discussed in the following section.