We present an analytic performance model of a largescale hydrodynamics code developed at Los Alamos National Laboratory. This modeling work is part of an ongoing effort to develop...
Feature models are widely used to model software product-line (SPL) variability. SPL variants are configured by selecting feature sets that satisfy feature model constraints. Conf...
Jules White, Douglas C. Schmidt, David Benavides, ...
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Software has been under scrutiny by the verification community from various angles in the recent past. There are two major algorithmic approaches to ensure the correctness of and...
Ansgar Fehnker, Ralf Huuck, Patrick Jayet, Michel ...