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Alexander Schultheiß
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2020 – today
- 2024
- [j4]Alexander Boll, Pooja Rani, Alexander Schultheiß, Timo Kehrer:
Beyond code: Is there a difference between comments in visual and textual languages? J. Syst. Softw. 215: 112087 (2024) - [j3]Paul Maximilian Bittner, Alexander Schultheiß, Benjamin Moosherr, Jeffrey M. Young, Leopoldo Teixeira, Eric Walkingshaw, Parisa Ataei, Thomas Thüm:
On the Expressive Power of Languages for Static Variability. Proc. ACM Program. Lang. 8(OOPSLA2): 1018-1050 (2024) - [c17]Alexander Boll, Yael Van Dok, Manuel Ohrndorf, Alexander Schultheiß, Timo Kehrer:
Towards Semi-Automated Merge Conflict Resolution: Is It Easier Than We Expected? EASE 2024: 282-292 - [c16]Paul Maximilian Bittner, Alexander Schultheiß, Benjamin Moosherr, Timo Kehrer, Thomas Thüm:
Variability-Aware Differencing with DiffDetective. SIGSOFT FSE Companion 2024: 632-636 - [c15]Sandra Greiner, Alexander Schultheiß, Paul Maximilian Bittner, Thomas Thüm, Timo Kehrer:
Give an Inch and Take a Mile? Effects of Adding Reliable Knowledge to Heuristic Feature Tracing. SPLC (A) 2024: 84-95 - 2023
- [j2]Alexander Schultheiß, Paul Maximilian Bittner, Alexander Boll, Lars Grunske, Thomas Thüm, Timo Kehrer:
RaQuN: a generic and scalable n-way model matching algorithm. Softw. Syst. Model. 22(5): 1495-1517 (2023) - [c14]Paul Maximilian Bittner, Christof Tinnes, Alexander Schultheiß, Sören Viegener, Timo Kehrer, Thomas Thüm:
Classifying Edits to Variability in Source Code - Summary. Software Engineering 2023: 39-40 - [c13]Alexander Schultheiß, Paul Maximilian Bittner, Thomas Thüm, Timo Kehrer:
Quantifying the Potential to Automate the Synchronization of Variants in Clone-and-Own - Summary. Software Engineering 2023: 109-110 - [c12]Paul Maximilian Bittner, Alexander Schultheiß, Sandra Greiner, Benjamin Moosherr, Sebastian Krieter, Christof Tinnes, Timo Kehrer, Thomas Thüm:
Views on Edits to Variational Software. SPLC (A) 2023: 141-152 - [c11]Alexander Schultheiß, Paul Maximilian Bittner, Sandra Greiner, Timo Kehrer:
Benchmark Generation with VEVOS: A Coverage Analysis of Evolution Scenarios in Variant-Rich Systems. VaMoS 2023: 13-22 - 2022
- [c10]Alexander Schultheiß, Paul Maximilian Bittner, Sascha El-Sharkawy, Thomas Thüm, Timo Kehrer:
Simulating the Evolution of Clone-and-Own Projects with VEVOS. EASE 2022: 231-236 - [c9]Alexander Schultheiß, Paul Maximilian Bittner, Thomas Thüm, Timo Kehrer:
Quantifying the Potential to Automate the Synchronization of Variants in Clone-and-Own. ICSME 2022: 269-280 - [c8]Paul Maximilian Bittner, Alexander Schultheiß, Thomas Thüm, Timo Kehrer, Jeffrey M. Young, Lukas Linsbauer:
Feature Trace Recording - Summary. Software Engineering 2022: 19-20 - [c7]Alexander Schultheiß, Paul Maximilian Bittner, Thomas Thüm, Timo Kehrer:
Scalable N-Way Model Matching Using Multi-Dimensional Search Trees - Summary. Software Engineering 2022: 83-84 - [c6]Paul Maximilian Bittner, Christof Tinnes, Alexander Schultheiß, Sören Viegener, Timo Kehrer, Thomas Thüm:
Classifying edits to variability in source code. ESEC/SIGSOFT FSE 2022: 196-208 - 2021
- [c5]Timo Kehrer, Thomas Thüm, Alexander Schultheiß, Paul Maximilian Bittner:
Bridging the Gap Between Clone-and-Own and Software Product Lines. ICSE (NIER) 2021: 21-25 - [c4]Alexander Schultheiß, Paul Maximilian Bittner, Lars Grunske, Thomas Thüm, Timo Kehrer:
Scalable N-Way Model Matching Using Multi-Dimensional Search Trees. MoDELS 2021: 1-12 - [c3]Paul Maximilian Bittner, Alexander Schultheiß, Thomas Thüm, Timo Kehrer, Jeffrey M. Young, Lukas Linsbauer:
Feature trace recording. ESEC/SIGSOFT FSE 2021: 1007-1020 - 2020
- [j1]Alexander Schultheiß, Alexander Boll, Timo Kehrer:
Comparison of Graph-based Model Transformation Rules. J. Object Technol. 19(2): 3:1-21 (2020) - [c2]Alexander Schultheiß, Paul Maximilian Bittner, Timo Kehrer, Thomas Thüm:
On the use of product-line variants as experimental subjects for clone-and-own research: a case study. SPLC (A) 2020: 27:1-27:6
2010 – 2019
- 2017
- [c1]Alexander Schultheiß, Christoph Käding, Alexander Freytag, Joachim Denzler:
Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations. GCPR 2017: 226-238
Coauthor Index
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