Damian Garber

According to our database, Damian Garber authored at least 17 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Towards LLM-Enhanced Product Line Scoping.

Alexander Felfernig, Damian Garber, Viet-Man Le, Sebastian Lubos, Thi Ngoc Trang Tran

CoRR, July, 2025

Sustainability Evaluation Metrics for Recommender Systems.

Alexander Felfernig, Damian Garber, Viet-Man Le, Sebastian Lubos, Thi Ngoc Trang Tran

CoRR, July, 2025

Towards LLM-Enhanced Group Recommender Systems.

Sebastian Lubos, Alexander Felfernig, Thi Ngoc Trang Tran, Viet-Man Le, Damian Garber, Manuel Henrich, Reinhard Willfort, Jeremias Fuchs

CoRR, July, 2025

Causality-based Explanations for Feature Model Configuration.

Alexander Felfernig, Damian Garber, Viet-Man Le, Sebastian Lubos

Proceedings of the 19th International Working Conference on Variability Modelling of Software-Intensive Systems, 2025

Towards Group Decision Support with LLM-based Meeting Analysis.

Sebastian Lubos, Alexander Felfernig, Damian Garber, Viet-Man Le, Manuel Henrich, Reinhard Willfort, Jeremias Fuchs

Proceedings of the Adjunct Proceedings of the 33rd ACM Conference on User Modeling, 2025

InteractiveReq: Enhancing Software Requirement Specification with Critiquing-based Recommender Systems.

Sebastian Lubos, Alexander Felfernig, Damian Garber, Viet-Man Le, Manuel Henrich, Reinhard Willfort, Ivan Dukic

Proceedings of the Adjunct Proceedings of the 33rd ACM Conference on User Modeling, 2025

Evaluating Large Language Models for the Automated Generation of Software Requirements.

Thomas Puchleitner, Sebastian Lubos, Alexander Felfernig, Damian Garber

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2025

Enhanced Optimization Space Learning: Towards Real-Time Compiler Optimization.

Damian Garber, Sebastian Lubos, Viet-Man Le, Alexander Felfernig

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2025

2024

Knowledge-based recommender systems: overview and research directions.

Mathias Uta, Alexander Felfernig, Viet-Man Le, Thi Ngoc Trang Tran, Damian Garber, Sebastian Lubos, Tamim Burgstaller

Frontiers Big Data, 2024

Recommender systems for sustainability: overview and research issues.

Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Sebastian Lubos, Merfat El Mansi, Damian Garber, Viet-Man Le

Frontiers Big Data, 2024

Optimization Space Learning: A Lightweight, Noniterative Technique for Compiler Autotuning.

Tamim Burgstaller, Damian Garber, Viet-Man Le, Alexander Felfernig

Proceedings of the 28th ACM International Systems and Software Product Line Conference, 2024

Leveraging LLMs for the Quality Assurance of Software Requirements.

Sebastian Lubos, Alexander Felfernig, Thi Ngoc Trang Tran, Damian Garber, Merfat El Mansi, Seda Polat Erdeniz, Viet-Man Le

Proceedings of the 32nd IEEE International Requirements Engineering Conference, 2024

Semantics-Preserving Merging of Feature Models.

Mathias Uta, Viet-Man Le, Alexander Felfernig, Damian Garber, Gottfried Schenner, Thi Ngoc Trang Tran

Proceedings of the 26th International Workshop on Configuration (ConfWS 2024) co-located with the 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), 2024

Responsible Configuration Using LLM-based Sustainability-Aware Explanations.

Sebastian Lubos, Alexander Felfernig, Lothar Hotz, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Viet-Man Le, Damian Garber, Merfat El Mansi

Proceedings of the 26th International Workshop on Configuration (ConfWS 2024) co-located with the 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), 2024

An extensive comparison of preprocessing methods in the context of configuration space learning.

Damian Garber, Alexander Felfernig, Viet-Man Le, Tamim Burgstaller, Merfat El Mansi

Proceedings of the 26th International Workshop on Configuration (ConfWS 2024) co-located with the 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), 2024

2023

Analysis Operations On The Run: Feature Model Analysis in Constraint-based Recommender Systems.

Sebastian Lubos, Alexander Felfernig, Viet-Man Le, Thi Ngoc Trang Tran, David Benavides, José A. Zamudio, Damian Garber

Proceedings of the 27th ACM International Systems and Software Product Line Conference, 2023

Collaborative Recommendation of Search Heuristics For Constraint Solvers.

Damian Garber, Tamim Burgstaller, Alexander Felfernig, Viet-Man Le, Sebastian Lubos, Trang Tran, Seda Polat Erdeniz

Proceedings of the 25th International Workshop on Configuration (ConfWS 2023), 2023