58 citations · 146 across the 17 of their papers we have counts for
17 papers
Usability Analysis of Configurator User Interfaces with Multimodal Large Language Models
Sebastian Lubos, Alexander Felfernig, Damian Garber +11
Configuration is a key technology for tailoring complex software systems, services, and products. A successful application of configurators not only depends on technical correctnes…
Recommending Usability Improvements with Multimodal Large Language Models
Sebastian Lubos, Alexander Felfernig, Damian Garber +2
Usability describes quality attributes of application user interfaces that determine how effectively users can interact with them. Traditional usability evaluation methods require…
Early-Stage Product Line Validation Using LLMs: A Study on Semi-Formal Blueprint Analysis
Viet-Man Le, Thi Ngoc Trang Tran, Sebastian Lubos +2
We study whether Large Language Models (LLMs) can perform feature model analysis operations (AOs) directly on semi-formal textual blueprints, i.e., concise constrained-language des…
Towards LLM-Based Usability Analysis for Recommender User Interfaces
Sebastian Lubos, Alexander Felfernig, Damian Garber +2
Usability is a key factor in the effectiveness of recommender systems. However, the analysis of user interfaces is a time-consuming process that requires expertise. Recent advances…
Towards LLM-Enhanced Product Line Scoping
Alexander Felfernig, Damian Garber, Viet-Man Le +2
The idea of product line scoping is to identify the set of features and configurations that a product line should include, i.e., offer for configuration purposes. In this context,…
Sustainability Evaluation Metrics for Recommender Systems
Alexander Felfernig, Damian Garber, Viet-Man Le +2
Sustainability-oriented evaluation metrics can help to assess the quality of recommender systems beyond wide-spread metrics such as accuracy, precision, recall, and satisfaction. F…
Towards LLM-Enhanced Group Recommender Systems
Sebastian Lubos, Alexander Felfernig, Thi Ngoc Trang Tran +5
In contrast to single-user recommender systems, group recommender systems are designed to generate and explain recommendations for groups. This group-oriented setting introduces ad…
Recommender Systems for Sustainability: Overview and Research Issues
Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran +5
Sustainability development goals (SDGs) are regarded as a universal call to action with the overall objectives of planet protection, ending of poverty, and ensuring peace and prosp…
Leveraging LLMs for the Quality Assurance of Software Requirements
Sebastian Lubos, Alexander Felfernig, Thi Ngoc Trang Tran +4
Successful software projects depend on the quality of software requirements. Creating high-quality requirements is a crucial step toward successful software development. Effective…
Sports Recommender Systems: Overview and Research Issues
Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran +3
Sports recommender systems receive an increasing attention due to their potential of fostering healthy living, improving personal well-being, and increasing performances in sport.…
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…
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…
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…
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…
Group Recommendation Techniques for Feature Modeling and Configuration
Viet-Man Le
In large-scale feature models, feature modeling and configuration processes are highly expected to be done by a group of stakeholders. In this context, recommendation techniques ca…
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…