The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Data races are among the most reliable indicators of programming errors in concurrent software. For at least two decades, Lamport’s happens-before (HB) relation has served as th...
Yannis Smaragdakis, Jacob Evans, Caitlin Sadowski,...
Most current mobile technologies require on-screen operations for interacting with devices’ visual contents. However, as a trade-off for mobility, screens usually provide limite...
on Abstraction: a Lightweight Approach to Modelling Concurrency. Javier de Dios and Ricardo Peña Certified Implementation on top of the Java Virtual Machine 19:00 Social dinner + ...
A short theatrical exaggeration (but not too much) which describes practical problems with variability as experienced by real-world software developers. Real issue, there are no p...