Modeling for synthesis and modeling for simulation seem to be two competing goals in the context of C++-based modeling frameworks. One of the reasons is while most hardware system...
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
One important component of a software process is the organizational context in which the process is enacted. This component is often missing or incomplete in current process model...
In this work, we present a conceptual framework for deriving executable business process models from high-level, graphical business process models based on the paradigm of Service-...
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...