It is often the case that safety-critical systems have to be reconfigured during operation because of issues such as changes in the system's operating environment or the fail...
Though new technological trends and paradigms arise for developing complex software systems, systematic reuse continues to be an elusive goal. In this context, the adoption of Comm...
Data mining tools generally deal with highly structured and precise data. However, classical methods fail to handle imprecise or uncertain information. This paper proposes a neuro-...
Romeo Mark A. Mateo, Malrey Lee, Su-Chong Joo, Jae...
Testing is one of the costliest aspects of commercial software development. Model-based testing is a promising approach addressing these deficits. At Microsoft, model-based testin...
Margus Veanes, Colin Campbell, Wolfgang Grieskamp,...
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...