Recommender systems assist users in decision-making, where the presentat...
Constraint-based applications attempt to identify a solution that meets ...
Feature model configuration can be supported on the basis of various typ...
Configuration is a successful application area of Artificial Intelligenc...
Aspects such as limited resources, frequently changing market demands, a...
Constraint-based recommenders support users in the identification of ite...
Constraint-based environments such as configuration systems, recommender...
Many domains require scalable algorithms that help to determine diagnose...
Constraint sets can become inconsistent in different contexts. For examp...
Requirements Engineering in open source projects such as Eclipse faces t...
The knowledge engineering bottleneck is still a major challenge in
confi...
Existing e-learning environments primarily focus on the aspect of provid...
Globally operating enterprises selling large and complex products and
se...
Recommender systems support decisions in various domains ranging from si...
Variability models (e.g., feature models) are a common way for the
repre...
Background: Requirement engineering is often considered a critical activ...