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Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher A. Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristof Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo-Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matúš Sulír, Fatemeh Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel
A fine-grained data set and analysis of tangling in bug fixing commits, Empirical Software Engineering, 2022
Steffen Herbold, Alexander Trautsch, Fabian Trautsch, Benjamin Ledel
Problems with SZZ and features: An empirical study of the state of practice of defect prediction data collection, Empirical Software Engineering, 2022
Julian von der Mosel, Alexander Trautsch, Steffen Herbold
On the validity of pre-trained transformers for natural language processing in the software engineering domain, Transactions on Software Engineering, 2022

Alexander Trautsch, Steffen Herbold
Predicting issue types with seBERT, Proceedings 1st International Workshop on Natural Language-based Software Engineering (NLBSE), 2022

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