Steffen Herbold

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 84

Top Venues

CoRR

Empir. Softw. Eng.

Software Engineering

IEEE Trans. Software Eng.

University of Göttingen (PHD)

Education History

University of Göttingen

PHD

Publications

Steffen Herbold, Brian Valerius, Anamaria Mojica-Hanke, Isabella Lex, Joel Mittel
Legal Aspects for Software Developers Interested in Generative AI Applications. CoRR (2024)
Lukas Schulte, Benjamin Ledel, Steffen Herbold
Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP. Empir. Softw. Eng. 29 (4) (2024)
Steffen Herbold
Semantic similarity prediction is better than other semantic similarity measures. Trans. Mach. Learn. Res. 2024 (2024)
Zaheed Ahmed, Eike Schwass, Steffen Herbold, Fabian Trautsch, Jens Grabowski
A new perspective on the competent programmer hypothesis through the reproduction of real faults with repeated mutations. Softw. Test. Verification Reliab. 34 (3) (2024)
Steffen Herbold, Alexander Trautsch, Zlata Kikteva, Annette Hautli-Janisz
Large Language Models can impersonate politicians and other public figures. CoRR (2024)
Zlata Kikteva, Alexander Trautsch, Patrick Katzer, Mirko Oest, Steffen Herbold, Annette Hautli-Janisz
On the Impact of Reconstruction and Context for Argument Prediction in Natural Debate. ArgMining@EMNLP (2023)
Laura Cabra-Acela, Anamaria Mojica-Hanke, Mario Linares-Vásquez, Steffen Herbold
On Using Information Retrieval to Recommend Machine Learning Good Practices for Software Engineers. CoRR (2023)
Alexander Trautsch, Steffen Herbold, Jens Grabowski
Are automated static analysis tools worth it? An investigation into relative warning density and external software quality on the example of Apache open source projects. Empir. Softw. Eng. 28 (3) (2023)
Anamaria Mojica-Hanke, Andrea Bayona, Mario Linares-Vásquez, Steffen Herbold, Fabio A. González
What are the Machine Learning best practices reported by practitioners on Stack Exchange? CoRR (2023)
Lukas Schulte, Anamaria Mojica-Hanke, Mario Linares-Vásquez, Steffen Herbold
An exploratory study of bug-introducing changes: what happens when bugs are introduced in open source software? CoRR (2023)
Steffen Herbold, Alexander Trautsch, Fabian Trautsch, Benjamin Ledel
Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection. Software Engineering (2023)
Steffen Herbold, Tobias Haar
Smoke testing for machine learning: simple tests to discover severe bugs. Software Engineering (2023)
Julian von der Mosel, Alexander Trautsch, Steffen Herbold
On the validity of pre-trained transformers for natural language processing in the software engineering domain. Software Engineering (2023)
Alexander Trautsch, Johannes Erbel, Steffen Herbold, Jens Grabowski
What really changes when developers intend to improve their source code: a commit-level study of static metric value and static analysis warning changes. Empir. Softw. Eng. 28 (2) (2023)
Steffen Herbold, Steffen Tunkel
Differential testing for machine learning: an analysis for classification algorithms beyond deep learning. Empir. Softw. Eng. 28 (2) (2023)
Tomás Bruna, Heng Li, Joseph Guhlin, Daniel Honsel, Steffen Herbold, Mario Stanke, Natalia Nenasheva, Matthis Ebel, Lars Gabriel, Katharina Jasmin Hoff
Galba: genome annotation with miniprot and AUGUSTUS. BMC Bioinform. 24 (1) (2023)
Julian von der Mosel, Alexander Trautsch, Steffen Herbold
On the Validity of Pre-Trained Transformers for Natural Language Processing in the Software Engineering Domain. IEEE Trans. Software Eng. 49 (4) (2023)
Steffen Tunkel, Steffen Herbold
Exploring the relationship between performance metrics and cost saving potential of defect prediction models. Software Engineering (2023)
Steffen Herbold
Semantic similarity prediction is better than other semantic similarity measures. CoRR (2023)
Anne Henning, Lukas Schulte, Steffen Herbold, Oksana Kulyk, Peter Mayer
Understanding issues related to personal data and data protection in open source projects on GitHub. CoRR (2023)
Steffen Herbold, Annette Hautli-Janisz, Ute Heuer, Zlata Kikteva, Alexander Trautsch
AI, write an essay for me: A large-scale comparison of human-written versus ChatGPT-generated essays. CoRR (2023)
Laura Cabra-Acela, Anamaria Mojica-Hanke, Mario Linares-Vásquez, Steffen Herbold
On Using Information Retrieval to Recommend Machine Learning Good Practices for Software Engineers. ESEC/SIGSOFT FSE (2023)
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. Empir. Softw. Eng. 27 (2) (2022)
Steffen Herbold, Steffen Tunkel
Differential testing for machine learning: an analysis for classification algorithms beyond deep learning. CoRR (2022)
Steffen Tunkel, Steffen Herbold
Exploring the relationship between performance metrics and cost saving potential of defect prediction models. Empir. Softw. Eng. 27 (7) (2022)
Steffen Herbold, Tobias Haar
Smoke testing for machine learning: simple tests to discover severe bugs. Empir. Softw. Eng. 27 (2) (2022)
Alexander Trautsch, Steffen Herbold
Predicting Issue Types with seBERT. CoRR (2022)
Alexander Trautsch, Steffen Herbold
Predicting Issue Types with seBERT. NLBSE (2022)
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, Matús Sulír, Fatemeh H. 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. Empir. Softw. Eng. 27 (6) (2022)
Benjamin Ledel, Steffen Herbold
Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP. CoRR (2022)
Alexander Trautsch, Johannes Erbel, Steffen Herbold, Jens Grabowski
On the differences between quality increasing and other changes in open source Java projects. CoRR (2021)
Steffen Herbold, Aynur Amirfallah, Fabian Trautsch, Jens Grabowski
A systematic mapping study of developer social network research. J. Syst. Softw. 171 (2021)
Julian von der Mosel, Alexander Trautsch, Steffen Herbold
On the validity of pre-trained transformers for natural language processing in the software engineering domain. CoRR (2021)
Alexander Trautsch, Steffen Herbold
The SmartSHARK Repository Mining Data. CoRR (2021)
Armin Goudarzi, Carsten Spehr, Steffen Herbold
Expert decision support system for aeroacoustic classification. CoRR (2021)
Alexander Trautsch, Steffen Herbold, Jens Grabowski
Are automated static analysis tools worth it? An investigation into relative warning density and external software quality. CoRR (2021)
Fabian Trautsch, Steffen Herbold, Jens Grabowski
Are Unit and Integration Test Definitions Still Valid for Modern Java Projects? An Empirical Study on Open-Source Projects. Software Engineering (2021)
Steffen Herbold, Aynur Amirfallah, Fabian Trautsch, Jens Grabowski
A Systematic Mapping Study of Developer Social Network Research. Software Engineering (2021)
Eike Stein, Steffen Herbold, Fabian Trautsch, Jens Grabowski
A new perspective on the competent programmer hypothesis through the reproduction of bugs with repeated mutations. CoRR (2021)
Steffen Herbold
Exploring the relationship between performance metrics and cost saving potential of defect prediction models. CoRR (2021)
Steffen Herbold
On the Costs and Profit of Software Defect Prediction. IEEE Trans. Software Eng. 47 (11) (2021)
Benjamin Ledel, Steffen Herbold
Broccoli: Bug localization with the help of text search engines. CoRR (2021)
Steffen Herbold, Alexander Trautsch, Fabian Trautsch
On the Feasibility of Automated Prediction of Bug and Non-Bug Issues. Software Engineering (2021)
Steffen Herbold
On the Cost and Profit of Software Defect Prediction. Software Engineering (2021)
Alexander Trautsch, Steffen Herbold, Jens Grabowski
A Longitudinal Study of Static Analysis Warning Evolution and the Effects of PMD on Software Quality in Apache Open Source Projects. Software Engineering (2021)
Steffen Herbold
Autorank: A Python package for automated ranking of classifiers. J. Open Source Softw. 5 (48) (2020)
Steffen Herbold, Alexander Trautsch, Fabian Trautsch
On the Feasibility of Automated Issue Type Prediction. CoRR (2020)
Fabian Trautsch, Steffen Herbold, Jens Grabowski
Are unit and integration test definitions still valid for modern Java projects? An empirical study on open-source projects. J. Syst. Softw. 159 (2020)
Tobias Baum, Steffen Herbold, Kurt Schneider
GIMO: A multi-objective anytime rule mining system to ease iterative feedback from domain experts. Expert Syst. Appl. X 8 (2020)
Alexander Trautsch, Steffen Herbold, Jens Grabowski
A longitudinal study of static analysis warning evolution and the effects of PMD on software quality in Apache open source projects. Empir. Softw. Eng. 25 (6) (2020)
Steffen Herbold, Alexander Trautsch, Fabian Trautsch
Correction to: On the feasibility of automated prediction of bug and non-bug issues. Empir. Softw. Eng. 25 (6) (2020)
Alexander Trautsch, Steffen Herbold, Jens Grabowski
Static source code metrics and static analysis warnings for fine-grained just-in-time defect prediction. ICSME (2020)
Armin Goudarzi, Carsten Spehr, Steffen Herbold
Automatic source localization and spectra generation from deconvolved beamforming maps. CoRR (2020)
Steffen Herbold, Alexander Trautsch, Fabian Trautsch
On the feasibility of automated prediction of bug and non-bug issues. Empir. Softw. Eng. 25 (6) (2020)
Steffen Herbold, Tobias Haar
Smoke Testing for Machine Learning: Simple Tests to Discover Severe Defects. CoRR (2020)
Alexander Trautsch, Fabian Trautsch, Steffen Herbold, Benjamin Ledel, Jens Grabowski
The SmartSHARK ecosystem for software repository mining. ICSE (Companion Volume) (2020)
Steffen Herbold, Alexander Trautsch, Benjamin Ledel
Large-Scale Manual Validation of Bugfixing Changes. MSR (2020)
Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristóf 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, Matús 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
Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling. CoRR (2020)
Steffen Herbold
With registered reports towards large scale data curation. ICSE (NIER) (2020)
Steffen Herbold
With Registered Reports Towards Large Scale Data Curation. CoRR (2020)
Alexander Trautsch, Fabian Trautsch, Steffen Herbold, Benjamin Ledel, Jens Grabowski
The SmartSHARK Ecosystem for Software Repository Mining. CoRR (2020)
Steffen Herbold, Fabian Trautsch, Patrick Harms, Verena Herbold, Jens Grabowski
Chapter Seven - Experiences With Replicable Experiments and Replication Kits for Software Engineering Research. Adv. Comput. 113 (2019)
Steffen Herbold
On the costs and profit of software defect prediction. CoRR (2019)
Steffen Herbold, Alexander Trautsch, Jens Grabowski
Correction of "A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches". IEEE Trans. Software Eng. 45 (6) (2019)
Aynur Amirfallah, Fabian Trautsch, Jens Grabowski, Steffen Herbold
A systematic mapping study of developer social network research. CoRR (2019)
Steffen Herbold, Alexander Trautsch, Fabian Trautsch
Issues with SZZ: An empirical assessment of the state of practice of defect prediction data collection. CoRR (2019)
Alexander Trautsch, Steffen Herbold, Jens Grabowski
A Longitudinal Study of Static Analysis Warning Evolution and the Effects of PMD on Software Quality in Apache Open Source Projects. CoRR (2019)
Tobias Baum, Steffen Herbold, Kurt Schneider
An Industrial Case Study on Shrinking Code Review Changesets through Remark Prediction. CoRR (2018)
Steffen Herbold
Benchmarking cross-project defect prediction approaches with costs metrics. CoRR (2018)
Steffen Herbold, Alexander Trautsch, Jens Grabowski
A comparative study to benchmark cross-project defect prediction approaches. ICSE (2018)
Tobias Baum, Steffen Herbold, Kurt Schneider
A Multi-Objective Anytime Rule Mining System to Ease Iterative Feedback from Domain Experts. CoRR (2018)
Fabian Trautsch, Steffen Herbold, Philip Makedonski, Jens Grabowski
Addressing problems with replicability and validity of repository mining studies through a smart data platform. Empir. Softw. Eng. 23 (2) (2018)
Steffen Herbold, Alexander Trautsch, Jens Grabowski
A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches. IEEE Trans. Software Eng. 44 (9) (2018)
Xiaowei Wang, Fabian Glaser, Steffen Herbold, Jens Grabowski
On the Relatively Small Impact of Deep Dependencies on Cloud Application Reliability. CLOUD (2017)
Steffen Herbold, Alexander Trautsch, Jens Grabowski
Global vs. local models for cross-project defect prediction - A replication study. Empir. Softw. Eng. 22 (4) (2017)
Steffen Herbold, Alexander Trautsch, Jens Grabowski
Correction of "A Comparative Study to Benchmark Cross-project Defect Prediction Approaches". CoRR (2017)
Steffen Herbold
Comments on ScottKnottESD in Response to "An Empirical Comparison of Model Validation Techniques for Defect Prediction Models". IEEE Trans. Software Eng. 43 (11) (2017)
Steffen Herbold
A systematic mapping study on cross-project defect prediction. CoRR (2017)
Harald Altinger, Steffen Herbold, Friederike Schneemann, Jens Grabowski, Franz Wotawa
Performance tuning for automotive Software Fault Prediction. SANER (2017)
Steffen Herbold, Andreas Hoffmann
Model-based testing as a service. Int. J. Softw. Tools Technol. Transf. 19 (3) (2017)
Steffen Herbold, Patrick Harms, Jens Grabowski
Combining usage-based and model-based testing for service-oriented architectures in the industrial practice. Int. J. Softw. Tools Technol. Transf. 19 (3) (2017)
Fabian Trautsch, Steffen Herbold, Philip Makedonski, Jens Grabowski
Adressing problems with external validity of repository mining studies through a smart data platform. MSR (2016)
Verena Honsel, Steffen Herbold, Jens Grabowski
Hidden Markov Models for the Prediction of Developer Involvement Dynamics and Workload. PROMISE (2016)
Verena Honsel, Steffen Herbold, Jens Grabowski
Learning from Software Project Histories - Predictive Studies Based on Mining Software Repositories. ECML/PKDD (3) (2016)
Martin A. Schneider, Steffen Herbold, Marc-Florian Wendland, Jens Grabowski
Improving Security Testing with Usage-Based Fuzz Testing. RISK (2015)
Michael Göttsche, Fabian Glaser, Steffen Herbold, Jens Grabowski
Automated Deployment and Parallel Execution of Legacy Applications in Cloud Environments (Short Paper). SOCA (2015)
Harald Altinger, Steffen Herbold, Jens Grabowski, Franz Wotawa
Novel Insights on Cross Project Fault Prediction Applied to Automotive Software. ICTSS (2015)
Steffen Herbold
CrossPare: A Tool for Benchmarking Cross-Project Defect Predictions. ASE Workshops (2015)
Verena Honsel, Steffen Herbold, Jens Grabowski
Intuition vs. Truth: Evaluation of Common Myths about StackOverflow Posts. MSR (2015)
Martin A. Schneider, Steffen Herbold
Effizientere IT-Sicherheitstest mit Hilfe von Usagebased Testing. Softwaretechnik-Trends 35 (1) (2015)
Verena Honsel, Daniel Honsel, Steffen Herbold, Jens Grabowski, Stephan Waack
Mining Software Dependency Networks for Agent-Based Simulation of Software Evolution. ASE Workshops (2015)
Steffen Herbold, Alberto De Francesco, Jens Grabowski, Patrick Harms, Lom-Messan Hillah, Fabrice Kordon, Ariele-Paolo Maesano, Libero Maesano, Claudia Di Napoli, Fabio De Rosa, Martin A. Schneider, Nicola Tonellotto, Marc-Florian Wendland, Pierre-Henri Wuillemin
The MIDAS Cloud Platform for Testing SOA Applications. ICST (2015)
Thomas Brodag, Steffen Herbold, Stephan Waack
A Generalized Model of PAC Learning and its Applicability. RAIRO Theor. Informatics Appl. 48 (2) (2014)
Steffen Herbold
Training data selection for cross-project defect prediction. PROMISE (2013)
Steffen Herbold, Patrick Harms
AutoQUEST - Automated Quality Engineering of Event-Driven Software. ICST Workshops (2013)
Steffen Herbold, Uwe Bünting, Jens Grabowski, Stephan Waack
Deployable Capture/Replay Supported by Internal Messages. Adv. Comput. 85 (2012)
Steffen Herbold, Jens Grabowski, Stephan Waack
A Model for Usage-Based Testing of Event-Driven Software. SSIRI (Companion) (2011)
Steffen Herbold, Jens Grabowski, Stephan Waack
Calculation and optimization of thresholds for sets of software metrics. Empir. Softw. Eng. 16 (6) (2011)
Steffen Herbold, Jens Grabowski, Stephan Waack, Uwe Bünting
Improved Bug Reporting and Reproduction through Non-intrusive GUI Usage Monitoring and Automated Replaying. ICST Workshops (2011)
Steffen Herbold, Jens Grabowski, Helmut Neukirchen, Stephan Waack
Retrospective Analysis of Software Projects using k-Means Clustering. Softwaretechnik-Trends 30 (2) (2010)

Steffen Herbold.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Steffen Herbold