AI, write an essay for me: A large-scale comparison of human-written versus ChatGPT-generated essays

no code implementations • 24 Apr 2023 • Steffen Herbold, Annette Hautli-Janisz, Ute Heuer, Zlata Kikteva, Alexander Trautsch

The writing style of the AI models exhibits linguistic characteristics that are different from those of the human-written essays, e. g., it is characterized by fewer discourse and epistemic markers, but more nominalizations and greater lexical diversity.

Math

Predicting Issue Types with seBERT

1 code implementation • 3 May 2022 • Alexander Trautsch, Steffen Herbold

Pre-trained transformer models are the current state-of-the-art for natural language models processing.

Type prediction

On the validity of pre-trained transformers for natural language processing in the software engineering domain

no code implementations • 10 Sep 2021 • Julian von der Mosel, Alexander Trautsch, Steffen Herbold

Transformers are the current state-of-the-art of natural language processing in many domains and are using traction within software engineering research as well.

A Fine-grained Data Set and Analysis of Tangling in Bug Fixing Commits

1 code implementation • 12 Nov 2020 • Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed 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, Matus Sulir, 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

Methods: We use a crowd sourcing approach for manual labeling to validate which changes contribute to bug fixes for each line in bug fixing commits.

Software Engineering