Empowering Model Repair: A Rule-Based Approach to Graph Repair Without Side Effects. - Alexander Lauer; Jens Kosiol; Gabriele Taentzer (MoDELS (Companion), 2023)

Rule-based Graph Repair using Minimally Restricted Consistency-Improving Transformations. - Alexander Lauer (CoRR, 2023)

Advanced Consistency Restoration with Higher-Order Short-Cut Rules. - Lars Fritsche; Jens Kosiol; Alexander Lauer; Adrian Möller; Andy Schürr (CoRR, 2023)

Advanced Consistency Restoration with Higher-Order Short-Cut Rules. - Lars Fritsche; Jens Kosiol; Alexander Lauer; Adrian Möller; Andy Schürr (Zenodo, 2023)

Using Application Conditions to Rank Graph Transformations for Graph Repair. - Lars Fritsche; Alexander Lauer; Andy Schürr; Gabriele Taentzer (ICGT, 2024)

Advanced Model Consistency Restoration with Higher-Order Short-Cut Rules. - Lars Fritsche; Jens Kosiol; Alexander Lauer; Adrian Möller; Andy Schürr (Log. Methods Comput. Sci., 2024)

Empowering model repair: a rule-based approach to graph repair without side effects - extended version. - Alexander Lauer; Jens Kosiol; Gabriele Taentzer (Innov. Syst. Softw. Eng., 2024)

Granular Conflict Analysis for Transformation Rules with Application Conditions. - Alexander Lauer; Jens Kosiol; Gabriele Taentzer (ICGT, 2025)

Detecting Redundancies Between User Stories with Graphs and Large Language Models. - Lukas Sebastian Hofmann; Alexander Lauer; Jens Kosiol; Arno Kesper; Philipp Wieber; Amir Rabieyan; Gabriele Taentzer (REFSQ, 2025)