Migration des Debeka-Software-Repositorys auf ein RDBMS. - Johannes Bach; Martin Schulze (Softwaretechnik-Trends, 2006)

Repositorygestützte Erkennung von Schnittstellen in einem hochintegrierten Anwendungssystem. - Johannes Bach; Max Doppler; Martin Schulze (Softwaretechnik-Trends, 2007)

Das Debeka-Projekt MiKe: Migration der Debeka-Kernanwendungen von Bull/GCOS8 auf AIX. - Johannes Bach; Martin Schulze (Workshop Software Reengineering, 2008)

Einführung von COBOL-Wartbarkeits-Metriken bei der Debeka. - Andreas Fuhr; Daniel Bildhauer; Jürgen Ebert; Judith Haas; Volker Riediger; Marcus Rausch; Johannes Bach; Max Doppler; Daniel Höh; Martin Schulze (Softwaretechnik-Trends, 2012)

Der Nutzen von Interimsarchitekturen bei strategischen Transformationsmaßnahmen des Architekturmanagements. - Johannes Bach; Klaus Zitzmann; Christoph Ringelstein (GI-Jahrestagung, 2013)

Das Cobus-Projekt: COBOL-Bestandsanalyse und Sanierung bei der Debeka. - Andreas Fuhr; Jürgen Ebert; Volker Riediger; Marcus Rausch; Johannes Bach; Max Doppler; Sven Kühner; Sandra Wilbert (GI-Jahrestagung, 2013)

Model based scenario specification for development and test of automated driving functions. - Johannes Bach; Stefan Otten; Eric Sax (Intelligent Vehicles Symposium, 2016)

Identifikation von Fahrszenarien während einer virtuellen Testfahrt. - Christian King; Johannes Bach; Stefan Otten; Eric Sax (GI-Jahrestagung, 2017)

Test scenario selection for system-level verification and validation of geolocation-dependent automotive control systems. - Johannes Bach; Jacob Langner; Stefan Otten; Eric Sax; Marc Holzäpfel (ICE/ITMC, 2017)

Classification of Automotive Electric/Electronic Features and the Consequent Hierarchization of the Logical System Architecture - From Functional Chains to Functional Networks. - Johannes Bach; Stefan Otten; Eric Sax (SMARTGREENS/VEHITS (Selected Papers), 2017)

A Taxonomy and Systematic Approach for Automotive System Architectures - From Functional Chains to Functional Networks. - Johannes Bach; Stefan Otten; Eric Sax (VEHITS, 2017)

Estimating the Uniqueness of Test Scenarios derived from Recorded Real-World-Driving-Data using Autoencoders. - Jacob Langner; Johannes Bach; Lennart Ries; Stefan Otten; Marc Holzäpfel; Eric Sax (Intelligent Vehicles Symposium, 2018)

A Driving Scenario Representation for Scalable Real-Data Analytics with Neural Networks. - Lennart Ries; Jacob Langner; Stefan Otten; Johannes Bach; Eric Sax (IV, 2019)

Leveraging Regular Expressions for Flexible Scenario Detection in Recorded Driving Data. - Philip Elspas; Jacob Langner; Michael Aydinbas; Johannes Bach; Eric Sax (ISSE, 2020)

Semantic Comparison of Driving Sequences by Adaptation of Word Embeddings. - Lennart Ries; Maximilian Stumpf; Johannes Bach; Eric Sax (ITSC, 2020)

Time Series Segmentation for Driving Scenario Detection with Fully Convolutional Networks. - Philip Elspas; Yannick Klose; Simon T. Isele; Johannes Bach; Eric Sax (VEHITS, 2021)

Towards a Scenario Database from Recorded Driving Data with Regular Expressions for Scenario Detection. - Philip Elspas; Jonas Lindner; Mathis Brosowsky; Johannes Bach; Eric Sax (VEHITS, 2022)

Drive4C: A Closed-Loop Benchmark on What Foundation Models Really Need to Be Capable of for Language-Guided Autonomous Driving. - Tin Stribor Sohn; Maximilian Dillitzer; Johannes Bach; Jason J. Corso; Tim Brühl; Robin Schwager; Tim Dieter Eberhardt; Eric Sax (CVPR Workshops, 2025)

A Framework for a Capability-driven Evaluation of Scenario Understanding for Multimodal Large Language Models in Autonomous Driving. - Tin Stribor Sohn; Philipp Reis; Maximilian Dillitzer; Johannes Bach; Jason J. Corso; Eric Sax (CoRR, 2025)