Publications
2024
[OOPSLA 2024]
On the Expressive Power of Languages for Static Variability
Paul Maximilian Bittner, Alexander Schultheiß, Benjamin Moosherr, Jeffrey M. Young, Leopoldo Teixeira, Eric Walkingshaw, Parisa Ataei, Thomas Thüm. To appear in: Proceedings of the ACM on Programming Languages (PACMPL (OOPSLA). ACM, New York, NY, USA, October 2024.
[doi (TBA)] pdf (TBA)
[SPLC 2024]
[Best Research Paper Award]
Give an Inch and Take a Mile? Effects of Adding Reliable Knowledge to Heuristic Feature Tracing
Sandra Greiner, Alexander Schultheiß, Paul Maximilian Bittner, Thomas Thüm, Timo Kehrer. To appear in: Proceedings of the 28th ACM International Systems and Software Product Lines Conference (SPLC). ACM, New York, NY, USA, September 2024.
[doi (TBA)] pdf (TBA)
[FSE Companion 2024]
[Best Paper Award]
Variability-Aware Differencing with DiffDetective
Paul Maximilian Bittner, Alexander Schultheiß, Benjamin Moosherr, Timo Kehrer, and Thomas Thüm. To appear in: Proceedings of the ACM International Conference on the Foundations of Software Engineering (FSE), Demonstrations. ACM, New York, NY, USA, July 2024.
[doi] [pdf]
[EASE 2024]
[Distinguished Paper Award]
Towards Semi-Automated Merge Conflict Resolution: Is It Easier Than We Expected?
Alexander Boll, Yael van Dok, Manuel Ohrndorf, Alexander Schultheiß, Timo Kehrer. In: Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering (EASE). ACM, New York, NY, USA, June 2024.
[doi] [pdf]
[JSS]
Beyond code: Is there a difference between comments in visual and textual languages?
Alexander Boll, Pooja Rani, Alexander Schultheiß, Timo Kehrer. In: Journal in Systems an Software (JSS). Elsevier, May 2024, Volume 215.
[doi] [pdf]
2023
[SoSyM 2023]
RaQuN: A Generic and Scalable N-Way Model Matching Algorithm
Alexander Schultheiß, Paul Maximilian Bittner, Alexander Boll, Lars Grunske, Thomas Thüm, and Timo Kehrer. In: Software and Systems Modeling (SoSyM). Springer, October 2023, pp. 1495-1517.
[doi] [pdf]
[SPLC 2023]
Views on Edits to Variational Software
Paul Maximilian Bittner, Alexander Schultheiß, Sandra Greiner, Benjamin Moosherr, Sebastian Krieter, Christof Tinnes, Timo Kehrer, and Thomas Thüm. In: Proceedings of the 27th ACM International Systems and Software Product Line Conference (SPLC ‘23). ACM, New York, NY, USA, 141-152.
[doi] [pdf]
[VaMoS 2023]
Benchmark Generation with VEVOS: A Coverage Analysis of Evolution Scenarios in Variant-Rich Systems
Alexander Schultheiß, Paul Maximilian Bittner, Sandra Greiner, and Timo Kehrer. In: Proceedings of the 17th International Working Conference on Variability Modelling of Software-Intensive Systems (VaMoS ‘23). ACM, New York, NY, USA, 13–22.
[doi] [pdf]
2022
[ESEC/FSE 2022]
Classifying Edits to Variability in Source Code
Paul Maximilian Bittner, Christof Tinnes, Alexander Schultheiß, Sören Viegener, Timo Kehrer, and Thomas Thüm. In: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022). ACM, New York, NY, USA, 196–208.
[doi] [pdf]
[ICSME 2022]
Quantifying the Potential to Automate the Synchronization of Variants in Clone-and-Own
Alexander Schultheiß, Paul Maximilian Bittner, Thomas Thüm, and Timo Kehrer. In: Proceedings of the International Conference on Software Maintenance and Evolution (ICSME ‘22).
[doi] [pdf]
[EASE 2022]
Simulating the Evolution of Clone-and-Own Projects with VEVOS
Alexander Schultheiß, Paul Maximilian Bittner, Sascha El-Sharkawy, Thomas Thüm, and Timo Kehrer. In: Proceedings of the International Conference on Evaluation and Assessment in Software Engineering 2022 (EASE ‘22). ACM, New York, NY, USA, 231–236.
[doi] [pdf]
2021
[MODELS 2021]
Scalable N-Way Model Matching Using Multi-Dimensional Search Trees
Alexander Schultheiß, Paul Maximilian Bittner, Lars Grunske, Thomas Thüm, and Timo Kehrer. In: Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems (MODELS ‘21), 2021, pp. 1-12.
[doi] [pdf]
[ESEC/FSE 2021]
Feature Trace Recording
Paul Maximilian Bittner, Alexander Schultheiß, Thomas Thüm, Timo Kehrer, Jeffrey M. Young, and Lukas Linsbauer. In: Proceedings of the 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE ’21), August 23–28, 2021, Athens, Greece. ACM, New York, NY, USA, 14 pages.
[doi] [pdf]
[ICSE-NIER 2021]
Bridging the Gap Between Clone-and-Own and Software Product Lines
Timo Kehrer, Thomas Thüm, Alexander Schultheiß, Paul Maximilian Bittner. In: Proceedings of the 43rd International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER), 2021, pp. 21-25.
[doi] [pdf]
2020
[SPLC 2020]
On the Use of Product-Line Variants as Experimental Subjects for Clone-and-Own Research: A Case Study
Alexander Schultheiß, Paul Maximilian Bittner, Timo Kehrer, and Thomas Thüm. In: Proceedings of the 24th ACM International Systems and Software Product Line Conference (SPLC ’20), October 19–23, 2020, Montréal, QC, Canada. ACM, New York, NY, USA, 6 pages.
[doi] [pdf]
[JOT 2020]
Comparison of Graph-based Model Transformation Rules
Alexander Schultheiß, Alexander Boll, and Timo Kehrer. In: Journal of Object Technology, Volume 19, no. 2, pp. 3:1-21.
[doi] [pdf]
2017
[GCPR 2017]
Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations
Alexander Schultheiß, Christoph Käding, Alexander Freytag, and Joachim Denzler. In: Roth, V., Vetter, T. (eds) Pattern Recognition, Lecture Notes in Computer Science(), vol 10496. Springer, Cham, 2017.
[doi] [pdf]