A Feature Model (FM) is a compact representation of all the products of a software product line. The automated extraction of information from FMs is a thriving research topic invo...
Sergio Segura, Robert M. Hierons, David Benavides,...
HPC programmers utilize tracefiles, which record program behavior in great detail, as the basis for many performance analysis activities. The lack of generally accessible tracefil...
Ken Ferschweiler, Scott Harrah, Dylan Keon, Mariac...
Active data clustering is a novel technique for clustering of proximity data which utilizes principles from sequential experiment design in order to interleave data generation and...
Abstract. Data integration is the process by which data from heterogeneous data sources are conceptually integrated into a single cohesive data set. In recent years agents have bee...
The multidimensional analysis based on data cube has been growing interest. However existing data cube model usually does not have the semantics of attributes and hence the analysi...