README: Note on where to find code of L. Güthing

Author: pmbittner

README.md

@@ -169,7 +169,7 @@ DiffDetective was extended and used within bachelor's and master's theses:
 
 - _Constructing Variation Diffs Using Tree Diffing Algorithms_, Benjamin Moosherr, Bachelor's Thesis, 2023, [DOI 10.18725/OPARU-50108](https://dx.doi.org/10.18725/OPARU-50108): Benjamin added support for tree-differencing and integrated the GumTree differencer ([Github](https://github.com/GumTreeDiff/gumtree), [Paper](https://doi.org/10.1145/2642937.2642982)). In his thesis, Benjamin also reviewed a range of quality metrics for tree-diffs with focus on their applicability for rating variability-aware diffs. The [org.variantsync.diffdetective.experiments.thesis_bm](src/main/java/org/variantsync/diffdetective/experiments/thesis_bm) package implements the corresponding empirical study and may serve as an example on how to use the tree-differencing.
 - _Reverse Engineering Feature-Aware Commits From Software Product-Line Repositories_, Lukas Bormann, Bachelor's Thesis, 2023, [10.18725/OPARU-47892](https://dx.doi.org/10.18725/OPARU-47892): Lukas implemented an algorithm for feature-based commit-untangling, which turns variation diff into a series of smaller diffs, each of which contains an edit to a single feature or feature formula. This work was later refined in our publication _Views on Edits to Variational Software_ illustrated above.
-- _Inspecting the Evolution of Feature Annotations in Configurable Software_, Lukas Güthing, Master's Thesis, 2023: Lukas implemented different edge-types for associating variability annotations within variation diffs. He published his work later at VaMoS 2024 under the title _Explaining Edits to Variability Annotations in Evolving Software Product Lines_, illustrated above.
+- _Inspecting the Evolution of Feature Annotations in Configurable Software_, Lukas Güthing, Master's Thesis, 2023: Lukas implemented different edge-types for associating variability annotations within variation diffs. He published his work later at VaMoS 2024 under the title _Explaining Edits to Variability Annotations in Evolving Software Product Lines_, illustrated above. His work can be found in a [fork][forklg] of DiffDetective.
 - _Empirical Evaluation of Feature Trace Recording on the Edit History of Marlin_, Sören Viegener, Bachelor's Thesis, 2021, [DOI 10.18725/OPARU-38603](http://dx.doi.org/10.18725/OPARU-38603): In his thesis, Sören started the DiffDetective project and implemented the first version of an algorithm, which parses text-based diffs to C-preprocessor files to variation diffs. He also came up with an initial classification of edits, which we wanted to reuse to evaluate [Feature Trace Recording](https://variantsync.github.io/FeatureTraceRecording/), a method for deriving variability annotations from annotated patches.
 
 [documentation]: https://variantsync.github.io/DiffDetective/docs/javadoc