We present N-gram GP, an estimation of distribution algorithm for the evolution of linear computer programs. The algorithm learns and samples the joint probability distribution of...
Model management is a new approach to meta data management that offers a higher level programming interface than current techniques. The main abstractions are models (e.g., schema...
This paper relates on a first attempt to see if aspect-oriented programming (AOP) and logic meta-programming (LMP) can help with the revitalisation of legacy business software. B...
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
Our paper introduces a runtime verification framework for concurrent monitoring of applications specified by UML statecharts. The approach offers a considerable degree of granulari...