In this paper we propose a meta-modeling approach to adaptive knowledge management. It extends previous work by introducing an application-specific layer which allows to specify m...
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
Empirical program optimizers estimate the values of key optimization parameters by generating different program versions and running them on the actual hardware to determine which...
Kamen Yotov, Xiaoming Li, Gang Ren, Michael Cibuls...
This position paper shortly describes methods and tools under development to support a model-based reengineering process of user interfaces of legacy applications. This reengineer...
Unit testing is a methodology for testing small parts of an application independently of whatever application uses them. It is time consuming and tedious to write unit tests, and ...