The amount of electronics in vehicles is growing quickly, thus systems are becoming increasingly complex which makes the engineering of these software intensive systems more and m...
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
At early stages in the design of real-time embedded applications, the timing attributes of the computational activities are often incompletely specified or subject to changes. Lat...
Most approaches in reverse engineering literature generate a single view of a software system that restricts the scope of the reconstruction process. We propose an orchestrated se...
Abstract. So far, model-based testing approaches have mostly been used in testing through various kinds of APIs. In practice, however, testing through a GUI is another equally impo...