14 citations · 21 across the 4 of their papers we have counts for
4 papers
Configuring Multiple Instances with Multi-Configuration
Alexander Felfernig, Andrei Popescu, Mathias Uta +5
Configuration is a successful application area of Artificial Intelligence. In the majority of the cases, configuration systems focus on configuring one solution (configuration) tha…
Designing Explanations for Group Recommender Systems
A. Felfernig, N. Tintarev, T. N. T. Trang +1
Explanations are used in recommender systems for various reasons. Users have to be supported in making (high-quality) decisions more quickly. Developers of recommender systems want…
An Overview of Recommender Systems and Machine Learning in Feature Modeling and Configuration
Alexander Felfernig, Viet-Man Le, Andrei Popescu +3
Recommender systems support decisions in various domains ranging from simple items such as books and movies to more complex items such as financial services, telecommunication equi…
DirectDebug: Automated Testing and Debugging of Feature Models
Viet-Man Le, Alexander Felfernig, Mathias Uta +3
Variability models (e.g., feature models) are a common way for the representation of variabilities and commonalities of software artifacts. Such models can be translated to a logic…