Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations. - Alexander Schultheiß; Christoph Käding; Alexander Freytag; Joachim Denzler (GCPR, 2017)

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; Thomas Thüm (SPLC (A), 2020)

Comparison of Graph-based Model Transformation Rules. - Alexander Schultheiß; Alexander Boll; Timo Kehrer (J. Object Technol., 2020)

Bridging the Gap Between Clone-and-Own and Software Product Lines. - Timo Kehrer; Thomas Thüm; Alexander Schultheiß; Paul Maximilian Bittner (ICSE (NIER), 2021)

Scalable N-Way Model Matching Using Multi-Dimensional Search Trees. - Alexander Schultheiß; Paul Maximilian Bittner; Lars Grunske; Thomas Thüm; Timo Kehrer (MoDELS, 2021)

Feature trace recording. - Paul Maximilian Bittner; Alexander Schultheiß; Thomas Thüm; Timo Kehrer; Jeffrey M. Young; Lukas Linsbauer (ESEC/SIGSOFT FSE, 2021)

Simulating the Evolution of Clone-and-Own Projects with VEVOS. - Alexander Schultheiß; Paul Maximilian Bittner; Sascha El-Sharkawy; Thomas Thüm; Timo Kehrer (EASE, 2022)

Quantifying the Potential to Automate the Synchronization of Variants in Clone-and-Own. - Alexander Schultheiß; Paul Maximilian Bittner; Thomas Thüm; Timo Kehrer (ICSME, 2022)

Feature Trace Recording - Summary. - Paul Maximilian Bittner; Alexander Schultheiß; Thomas Thüm; Timo Kehrer; Jeffrey M. Young; Lukas Linsbauer (Software Engineering, 2022)

Scalable N-Way Model Matching Using Multi-Dimensional Search Trees - Summary. - Alexander Schultheiß; Paul Maximilian Bittner; Thomas Thüm; Timo Kehrer (Software Engineering, 2022)

Classifying edits to variability in source code. - Paul Maximilian Bittner; Christof Tinnes; Alexander Schultheiß; Sören Viegener; Timo Kehrer; Thomas Thüm (ESEC/SIGSOFT FSE, 2022)

Classifying Edits to Variability in Source Code - Summary. - Paul Maximilian Bittner; Christof Tinnes; Alexander Schultheiß; Sören Viegener; Timo Kehrer; Thomas Thüm (Software Engineering, 2023)

Quantifying the Potential to Automate the Synchronization of Variants in Clone-and-Own - Summary. - Alexander Schultheiß; Paul Maximilian Bittner; Thomas Thüm; Timo Kehrer (Software Engineering, 2023)

Views on Edits to Variational Software. - Paul Maximilian Bittner; Alexander Schultheiß; Sandra Greiner 001; Benjamin Moosherr; Sebastian Krieter; Christof Tinnes; Timo Kehrer; Thomas Thüm (SPLC (A), 2023)

Benchmark Generation with VEVOS: A Coverage Analysis of Evolution Scenarios in Variant-Rich Systems. - Alexander Schultheiß; Paul Maximilian Bittner; Sandra Greiner 001; Timo Kehrer (VaMoS, 2023)

RaQuN: a generic and scalable n-way model matching algorithm. - Alexander Schultheiß; Paul Maximilian Bittner; Alexander Boll; Lars Grunske; Thomas Thüm; Timo Kehrer (Softw. Syst. Model., 2023)

Variability-Aware Differencing with DiffDetective. - Paul Maximilian Bittner; Alexander Schultheiß; Benjamin Moosherr; Timo Kehrer; Thomas Thüm (SIGSOFT FSE Companion, 2024)

Give an Inch and Take a Mile? Effects of Adding Reliable Knowledge to Heuristic Feature Tracing. - Sandra Greiner 001; Alexander Schultheiß; Paul Maximilian Bittner; Thomas Thüm; Timo Kehrer (SPLC (A), 2024)

Beyond code: Is there a difference between comments in visual and textual languages? - Alexander Boll; Pooja Rani 001; Alexander Schultheiß; Timo Kehrer (J. Syst. Softw., 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 (Proc. ACM Program. Lang., 2024)

Towards Semi-Automated Merge Conflict Resolution: Is It Easier Than We Expected? - Alexander Boll; Yael Van Dok; Manuel Ohrndorf; Alexander Schultheiß; Timo Kehrer (Software Engineering, 2025)

Beyond Software Families: Community-Driven Variability. - Roman Bögli; Alexander Boll; Alexander Schultheiß; Timo Kehrer (SIGSOFT FSE Companion, 2025)