WCET analysis of modern processors using multi-criteria optimisation
Empirical Software Engineering
Cost-minimal pre-allocation of software tasks under real-time constraints
Proceedings of the 2011 ACM Symposium on Research in Applied Computation
Efficient constraint handling during designing reliable automotive real-time systems
Ada-Europe'12 Proceedings of the 17th Ada-Europe international conference on Reliable Software Technologies
Cloud engineering is Search Based Software Engineering too
Journal of Systems and Software
Optimizing the implementation of real-time Simulink models onto distributed automotive architectures
Journal of Systems Architecture: the EUROMICRO Journal
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One of the most important properties of a good software engineering process and of the design of the software it produces is robustness to changing requirements. Scenario-based analysis is a popular method for improving the flexibility of software architectures. This paper demonstrates a search-based technique for automating scenario-based analysis in the software architecture deployment view. Specifically, a novel parallel simulated annealing search algorithm is applied to the real-time task allocation problem to find baseline solutions which require a minimal number of changes in order to meet the requirements of potential upgrade scenarios. Another simulated annealing-based search is used for finding a solution that is similar to an existing baseline when new requirements arise. Solutions generated using a variety of scenarios are judged by how well they respond to different system requirements changes. The evaluation is performed on a set of problems with a controlled set of different characteristics.