Automatic generation of anomaly reports in a Train Control System: Using Natural Language Generation and Case-Based Reasoning

In this thesis, we study automatically generating explanatory reports for anomalous incidents in a train control system (TCS) using Natural Language Generation (NLG). A TCS is a type of safety-critical software that allows train controllers to correctly set the tracks for a train to pass. The goal of this research is to process the majority of...