Since software systems need to be continuously available under varying conditions, their ability to evolve at runtime is increasingly seen as one key issue. Modern programming fra...
Abstract. The need for effective testing techniques for architectural level descriptions is widely recognised. However, due to the variety of domain-specific architectural descript...
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
We present in this paper a library to compute with Taylor models, a technique extending interval arithmetic to reduce decorrelation and to solve differential equations. Numerical s...
Model coupling is a nontrivial task that is not adequately supported in existing frameworks. Our long term goal is to support the fast-prototyping of model couplings, enabling sci...