With the proliferation of the computer Cloud, new software delivery methods were created. In order to build software to fit into one of these models, a scalable, easy to deploy st...
One of the issues in software evolution is debugging. Debugging large and complex software systems evolved requires a lot of effort since it is very difficult to localize and ide...
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Due to their capability for expressing semantics and relationships among data objects, semi-structured documents have become a common way of representing domain knowledge. Compari...
Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabe...