Welcome to the Christian Doppler Laboratory on Monitoring and Evolution of Very-Large-Scale Software Systems! The lab works on theoretical foundations as well as methods, tools, and infrastructures for managing and supporting the monitoring and evolution of very-large-scale software systems (VLSS).The laboratory is hosted by Johannes Kepler University Linz and co-funded by the Christian Doppler Research … Continue reading Welcome to our lab!
Our colleague Rick Rabiser received a Distinguished Reviewer Award at SPLC 2018, the 22nd International Systems and Software Product Line Conference (Gothenburg, Sweden). Congratulations!
The Department of Computer Science of Johannes Kepler University Linz together with the Austrian Society of Computer Science (ÖGI) invites to the following talk: The Convergence of Safety and Security for Safety-critical Systems Tuesday, July 10th, 2018, 15:00-16:00 Room: JKU, S3-218 (Science Park 3) Abstract: For decades, safety was the dominating topic for cyber-physical systems. … Continue reading Informatik-Kolloquium: The Convergence of Safety and Security for Safety-critical Systems (Prof. Fischmeister, University of Waterloo)
Congratulations to Markus Weninger for receiving the “Best Presentation Award” at the 9th ACM/SPEC International Conference on Performance Engineering (ICPE 2018). Markus presented the paper “User-defined Classification and Multi-level Grouping of Objects in Memory Monitoring” (co-authored with Hanspeter Mössenböck).
The 15th International Conference on Managed Languages & Runtimes (ManLang’18) will take place in Linz, Austria, September 10-14, 2018. ManLang (formerly PPPJ) is a premier forum for presenting and discussing novel results in all aspects of managed programming languages and runtime systems, which serve as building blocks for some of the most important computing systems, … Continue reading Call for Papers — ManLang’18
We are happy to announce that Thomas Krismayer (2nd right) received an award of the Austrian Society for Artificial Intelligence (ÖGAI) for his master’s thesis ‘Prediction of User Traits from Music Listening Habits’. The award is given annually to promote excellent theses in the field of artificial intelligence. Congratulations, Thomas!