Abstract. The use of Feature Models (FMs) to define the valid combinations of features in Software Product Lines (SPL) is becoming commonplace. To enhance the scalability of FMs, ...
Mathieu Acher, Philippe Collet, Philippe Lahire, R...
Information retrieval is an important problem in any evidence-based discipline. Although Evidencebased Software Engineering (EBSE) is not immune to this fact, this question has no...
This paper is devoted to the problem of learning to predict ordinal (i.e., ordered discrete) classes using classification and regression trees. We start with S-CART, a tree inducti...
Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer...
When we model a phenomenon we apply a perspective on the phenomenon. The perspective decides which properties we include in the model. It also decides how we conceive a phenomenon ...
A seed-based framework for textual information extraction allows for weakly supervised acquisition of open-domain class attributes over conceptual hierarchies, from a combination ...