Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Harnessing the potential of today’s ever growing and dynamic geospatial data requires the development of novel visual analysis interfaces, tools and technologies. In this paper,...
Luciano Nocera, Arjun Rihan, Songhua Xing, Ali Kho...
Dynamic aspect-oriented programming (AOP) enables runtime adaptation of aspects, which is important for building sophisticated, aspect-based software engineering tools, such as ad...
Model transformations are an essential part of Model Driven Engineering and are in many ways similar to traditional software artifacts. Therefore it is necessary to define and eva...
Marcel F. van Amstel, Christian F. J. Lange, Mark ...
The traditional model transformation approach is to write transformation programs in a specialized language. Although such languages provide powerful capabilities to automate mode...