12 citations · 13 across the 4 of their papers we have counts for
4 papers
Variance of ML-based software fault predictors: are we really improving fault prediction?
Xhulja Shahini, Domenic Bubel, Andreas Metzger
Software quality assurance activities become increasingly difficult as software systems become more and more complex and continuously grow in size. Moreover, testing becomes even m…
Towards the decentralized coordination of multiple self-adaptive systems
Paul-Andrei Dragan, Andreas Metzger, Klaus Pohl
When multiple self-adaptive systems share the same environment and have common goals, they may coordinate their adaptations at runtime to avoid conflicts and to satisfy their goals…
An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented Systems
Andreas Metzger, Jone Bartel, Jan Laufer
Deep Reinforcement Learning (Deep RL) is increasingly used to cope with the open-world assumption in service-oriented systems. Deep RL was successfully applied to problems such as…
Automatically Reconciling the Trade-off between Prediction Accuracy and Earliness in Prescriptive Business Process Monitoring
Andreas Metzger, Tristan Kley, Aristide Rothweiler +1
Prescriptive business process monitoring provides decision support to process managers on when and how to adapt an ongoing business process to prevent or mitigate an undesired proc…