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Alexander Schultheiß

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2020 – today

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2024
[j4]
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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]
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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]
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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]
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Paul Maximilian Bittner, Alexander Schultheiß, Benjamin Moosherr, Timo Kehrer, Thomas Thüm:
Variability-Aware Differencing with DiffDetective. SIGSOFT FSE Companion 2024: 632-636
[c15]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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Paul Maximilian Bittner, Alexander Schultheiß, Thomas Thüm, Timo Kehrer, Jeffrey M. Young, Lukas Linsbauer:
Feature Trace Recording - Summary. Software Engineering 2022: 19-20
[c7]
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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]
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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]
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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]
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  - conf/models/SchultheissBGTK21
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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]
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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]
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  - journals/jot/SchultheissBK20
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Alexander Schultheiß, Alexander Boll, Timo Kehrer:
Comparison of Graph-based Model Transformation Rules. J. Object Technol. 19(2): 3:1-21 (2020)
[c2]
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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

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2017
[c1]
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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

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