activity
20182023
most citedRecommender Systems for Configuration Knowledge Engineering

19 citations · 62 across the 18 of their papers we have counts for

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8 papers · 1 filter

cs.AI2023

Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver

Benjamin Ritz, Alexander Felfernig, Viet-Man Le +1

In many scenarios, configurators support the configuration of a solution that satisfies the preferences of a single user. The concept of \emph{multi-configuration} is based on the…

cs.AI2023★ 13 cited

FastDiagP: An Algorithm for Parallelized Direct Diagnosis

Viet-Man Le, Cristian Vidal Silva, Alexander Felfernig +3

Constraint-based applications attempt to identify a solution that meets all defined user requirements. If the requirements are inconsistent with the underlying constraint set, algo…

cs.AI2023

Conjunctive Query Based Constraint Solving For Feature Model Configuration

Alexander Felfernig, Viet-Man Le, Sebastian Lubos

Feature model configuration can be supported on the basis of various types of reasoning approaches. Examples thereof are SAT solving, constraint solving, and answer set programming…

cs.AI2021

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…

cs.AI2021★ 1 cited

CoreDiag: Eliminating Redundancy in Constraint Sets

Alexander Felfernig, Christoph Zehentner, Paul Blazek

Constraint-based environments such as configuration systems, recommender systems, and scheduling systems support users in different decision making scenarios. These environments ex…

cs.AI2021

Anytime Diagnosis for Reconfiguration

Alexander Felfernig, Rouven Walter, Jose A. Galindo +4

Many domains require scalable algorithms that help to determine diagnoses efficiently and often within predefined time limits. Anytime diagnosis is able to determine solutions in s…

cs.AI2021

An Efficient Diagnosis Algorithm for Inconsistent Constraint Sets

Alexander Felfernig, Monika Schubert, Christoph Zehentner

Constraint sets can become inconsistent in different contexts. For example, during a configuration session the set of customer requirements can become inconsistent with the configu…

cs.AI2021★ 3 cited

Consistency-based Merging of Variability Models

Mathias Uta, Alexander Felfernig, Gottfried Schenner +1

Globally operating enterprises selling large and complex products and services often have to deal with situations where variability models are locally developed to take into accoun…