Artificial intelligence can be trained with a trial and error based approach. In an environment where a catastrophe can not be accepted a human overseer can be used, but this might lower the efficiency of the learning. ...

Design pattern detection approaches have evolved, with machine-learning methods gaining prominence. However, implementing machine-learning models can be challenging due to extensive training requirements and the need for ...

There is a need to improve the test procedure of Active Safety Systems through the automation of scenario generation, especially accident scenarios that are critical for testing. The purpose of this thesis is to provide ...

This paper shows the investigation of the viability of finding lines of code (LOC) contributing to technical debt (TD) using machine learning (ML), by trying to imitate the static code analysis tool SonarQube. This is ...

The idea behind data prefetching is to speed up program execution by predicting what data is needed by the processor, before it is actually needed. Data prefetching is commonly performed by prefetching the next memory ...