Steffen Herbold

According to our database, Steffen Herbold authored at least 92 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP.

Lukas Schulte, Benjamin Ledel, Steffen Herbold

Empir. Softw. Eng., July, 2024

A new perspective on the competent programmer hypothesis through the reproduction of real faults with repeated mutations.

Zaheed Ahmed, Eike Schwass, Steffen Herbold, Fabian Trautsch, Jens Grabowski

Softw. Test. Verification Reliab., May, 2024

Semantic similarity prediction is better than other semantic similarity measures.

Steffen Herbold

Trans. Mach. Learn. Res., 2024

Large Language Models can impersonate politicians and other public figures.

Steffen Herbold, Alexander Trautsch, Zlata Kikteva, Annette Hautli-Janisz

CoRR, 2024

Legal Aspects for Software Developers Interested in Generative AI Applications.

Steffen Herbold, Brian Valerius, Anamaria Mojica-Hanke, Isabella Lex, Joel Mittel

CoRR, 2024

Question Type Prediction in Natural Debate.

Zlata Kikteva, Alexander Trautsch, Steffen Herbold, Annette Hautli-Janisz

Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2024

2023

Galba: genome annotation with miniprot and AUGUSTUS.

Tomás Bruna, Heng Li, Joseph Guhlin, Daniel Honsel, Steffen Herbold, Mario Stanke, Natalia Nenasheva, Matthis Ebel, Lars Gabriel, Katharina Jasmin Hoff

BMC Bioinform., December, 2023

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.

Alexander Trautsch, Steffen Herbold, Jens Grabowski

Empir. Softw. Eng., June, 2023

On the Validity of Pre-Trained Transformers for Natural Language Processing in the Software Engineering Domain.

Julian von der Mosel, Alexander Trautsch, Steffen Herbold

IEEE Trans. Software Eng., April, 2023

What really changes when developers intend to improve their source code: a commit-level study of static metric value and static analysis warning changes.

Alexander Trautsch, Johannes Erbel, Steffen Herbold, Jens Grabowski

Empir. Softw. Eng., March, 2023

Differential testing for machine learning: an analysis for classification algorithms beyond deep learning.

Steffen Herbold, Steffen Tunkel

Empir. Softw. Eng., March, 2023

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

Steffen Herbold, Annette Hautli-Janisz, Ute Heuer, Zlata Kikteva, Alexander Trautsch

CoRR, 2023

Understanding issues related to personal data and data protection in open source projects on GitHub.

Anne Hennig, Lukas Schulte, Steffen Herbold, Oksana Kulyk, Peter Mayer

CoRR, 2023

An exploratory study of bug-introducing changes: what happens when bugs are introduced in open source software?

Lukas Schulte, Anamaria Mojica-Hanke, Mario Linares-Vásquez, Steffen Herbold

CoRR, 2023

What are the Machine Learning best practices reported by practitioners on Stack Exchange?

Anamaria Mojica-Hanke, Andrea Bayona, Mario Linares-Vásquez, Steffen Herbold, Fabio A. González

CoRR, 2023

On Using Information Retrieval to Recommend Machine Learning Good Practices for Software Engineers.

Laura Cabra-Acela, Anamaria Mojica-Hanke, Mario Linares-Vásquez, Steffen Herbold

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection.

Steffen Herbold, Alexander Trautsch, Fabian Trautsch, Benjamin Ledel

Proceedings of the Software Engineering 2023, 2023

On the Impact of Reconstruction and Context for Argument Prediction in Natural Debate.

Zlata Kikteva, Alexander Trautsch, Patrick Katzer, Mirko Oest, Steffen Herbold, Annette Hautli-Janisz

Proceedings of the 10th Workshop on Argument Mining, 2023

2022

SmartSHARK 2.2 Small.

Alexander Trautsch, Fabian Trautsch, Steffen Herbold

Dataset, July, 2022

SmartSHARK 2.2 Full.

Alexander Trautsch, Fabian Trautsch, Steffen Herbold

Dataset, July, 2022

SmartSHARK 1.3.

Alexander Trautsch, Fabian Trautsch, Steffen Herbold

Dataset, July, 2022

SmartSHARK 2.1 Full.

Alexander Trautsch, Fabian Trautsch, Steffen Herbold

Dataset, July, 2022

Exploring the relationship between performance metrics and cost saving potential of defect prediction models.

Steffen Tunkel, Steffen Herbold

Empir. Softw. Eng., 2022

Problems with SZZ and features: An empirical study of the state of practice of defect prediction data collection.

Steffen Herbold, Alexander Trautsch, Fabian Trautsch, Benjamin Ledel

Empir. Softw. Eng., 2022

A fine-grained data set and analysis of tangling in bug fixing commits.

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

Empir. Softw. Eng., 2022

Smoke testing for machine learning: simple tests to discover severe bugs.

Steffen Herbold, Tobias Haar

Empir. Softw. Eng., 2022

Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP.

Benjamin Ledel, Steffen Herbold

CoRR, 2022

Predicting Issue Types with seBERT.

Alexander Trautsch, Steffen Herbold

Proceedings of the 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE 2022), 2022

2021

SmartSHARK 2.2 Small.

Alexander Trautsch, Fabian Trautsch, Steffen Herbold

Dataset, December, 2021

SmartSHARK 2.2 Full.

Alexander Trautsch, Fabian Trautsch, Steffen Herbold

Dataset, December, 2021

SmartSHARK 1.3.

Alexander Trautsch, Fabian Trautsch, Steffen Herbold

Dataset, December, 2021

SmartSHARK 2.1 Full.

Alexander Trautsch, Fabian Trautsch, Steffen Herbold

Dataset, November, 2021

SmartSHARK 2.1 Full.

Alexander Trautsch, Fabian Trautsch, Steffen Herbold

Dataset, September, 2021

On the Costs and Profit of Software Defect Prediction.

Steffen Herbold

IEEE Trans. Software Eng., 2021

A systematic mapping study of developer social network research.

Steffen Herbold, Aynur Amirfallah, Fabian Trautsch, Jens Grabowski

J. Syst. Softw., 2021

Are automated static analysis tools worth it? An investigation into relative warning density and external software quality.

Alexander Trautsch, Steffen Herbold, Jens Grabowski

CoRR, 2021

Broccoli: Bug localization with the help of text search engines.

Benjamin Ledel, Steffen Herbold

CoRR, 2021

On the differences between quality increasing and other changes in open source Java projects.

Alexander Trautsch, Johannes Erbel, Steffen Herbold, Jens Grabowski

CoRR, 2021

A new perspective on the competent programmer hypothesis through the reproduction of bugs with repeated mutations.

Eike Stein, Steffen Herbold, Fabian Trautsch, Jens Grabowski

CoRR, 2021

Exploring the relationship between performance metrics and cost saving potential of defect prediction models.

Steffen Herbold

CoRR, 2021

Expert decision support system for aeroacoustic classification.

Armin Goudarzi, Carsten Spehr, Steffen Herbold

CoRR, 2021

The SmartSHARK Repository Mining Data.

Alexander Trautsch, Steffen Herbold

CoRR, 2021

On the Cost and Profit of Software Defect Prediction.

Steffen Herbold

Proceedings of the Software Engineering 2021, 2021

2020

Are unit and integration test definitions still valid for modern Java projects? An empirical study on open-source projects.

Fabian Trautsch, Steffen Herbold, Jens Grabowski

J. Syst. Softw., 2020

Autorank: A Python package for automated ranking of classifiers.

Steffen Herbold

J. Open Source Softw., 2020

GIMO: A multi-objective anytime rule mining system to ease iterative feedback from domain experts.

Tobias Baum, Steffen Herbold, Kurt Schneider

Expert Syst. Appl. X, 2020

A longitudinal study of static analysis warning evolution and the effects of PMD on software quality in Apache open source projects.

Alexander Trautsch, Steffen Herbold, Jens Grabowski

Empir. Softw. Eng., 2020

Correction to: On the feasibility of automated prediction of bug and non-bug issues.

Steffen Herbold, Alexander Trautsch, Fabian Trautsch

Empir. Softw. Eng., 2020

On the feasibility of automated prediction of bug and non-bug issues.

Steffen Herbold, Alexander Trautsch, Fabian Trautsch

Empir. Softw. Eng., 2020

Automatic source localization and spectra generation from deconvolved beamforming maps.

Armin Goudarzi, Carsten Spehr, Steffen Herbold

CoRR, 2020

Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling.

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 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

CoRR, 2020

Smoke Testing for Machine Learning: Simple Tests to Discover Severe Defects.

Steffen Herbold, Tobias Haar

CoRR, 2020

On the Feasibility of Automated Issue Type Prediction.

Steffen Herbold, Alexander Trautsch, Fabian Trautsch

CoRR, 2020

Large-Scale Manual Validation of Bugfixing Changes.

Steffen Herbold, Alexander Trautsch, Benjamin Ledel

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

Static source code metrics and static analysis warnings for fine-grained just-in-time defect prediction.

Alexander Trautsch, Steffen Herbold, Jens Grabowski

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

The SmartSHARK ecosystem for software repository mining.

Alexander Trautsch, Fabian Trautsch, Steffen Herbold, Benjamin Ledel, Jens Grabowski

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

With registered reports towards large scale data curation.

Steffen Herbold

Proceedings of the ICSE-NIER 2020: 42nd International Conference on Software Engineering, New Ideas and Emerging Results, Seoul, South Korea, 27 June, 2020

2019

Correction of "A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches".

Steffen Herbold, Alexander Trautsch, Jens Grabowski

IEEE Trans. Software Eng., 2019

Issues with SZZ: An empirical assessment of the state of practice of defect prediction data collection.

Steffen Herbold, Alexander Trautsch, Fabian Trautsch

CoRR, 2019

Chapter Seven - Experiences With Replicable Experiments and Replication Kits for Software Engineering Research.

Steffen Herbold, Fabian Trautsch, Patrick Harms, Verena Herbold, Jens Grabowski

Adv. Comput., 2019

2018

A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches.

Steffen Herbold, Alexander Trautsch, Jens Grabowski

IEEE Trans. Software Eng., 2018

Addressing problems with replicability and validity of repository mining studies through a smart data platform.

Fabian Trautsch, Steffen Herbold, Philip Makedonski, Jens Grabowski

Empir. Softw. Eng., 2018

A Multi-Objective Anytime Rule Mining System to Ease Iterative Feedback from Domain Experts.

Tobias Baum, Steffen Herbold, Kurt Schneider

CoRR, 2018

An Industrial Case Study on Shrinking Code Review Changesets through Remark Prediction.

Tobias Baum, Steffen Herbold, Kurt Schneider

CoRR, 2018

Benchmarking cross-project defect prediction approaches with costs metrics.

Steffen Herbold

CoRR, 2018

2017

Comments on ScottKnottESD in Response to "An Empirical Comparison of Model Validation Techniques for Defect Prediction Models".

Steffen Herbold

IEEE Trans. Software Eng., 2017

Combining usage-based and model-based testing for service-oriented architectures in the industrial practice.

Steffen Herbold, Patrick Harms, Jens Grabowski

Int. J. Softw. Tools Technol. Transf., 2017

Model-based testing as a service.

Steffen Herbold, Andreas Hoffmann

Int. J. Softw. Tools Technol. Transf., 2017

Global vs. local models for cross-project defect prediction - A replication study.

Steffen Herbold, Alexander Trautsch, Jens Grabowski

Empir. Softw. Eng., 2017

A systematic mapping study on cross-project defect prediction.

Steffen Herbold

CoRR, 2017

Performance tuning for automotive Software Fault Prediction.

Harald Altinger, Steffen Herbold, Friederike Schneemann, Jens Grabowski, Franz Wotawa

Proceedings of the IEEE 24th International Conference on Software Analysis, 2017

On the Relatively Small Impact of Deep Dependencies on Cloud Application Reliability.

Xiaowei Wang, Fabian Glaser, Steffen Herbold, Jens Grabowski

Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016

Hidden Markov Models for the Prediction of Developer Involvement Dynamics and Workload.

Verena Honsel, Steffen Herbold, Jens Grabowski

Proceedings of the The 12th International Conference on Predictive Models and Data Analytics in Software Engineering, 2016

Learning from Software Project Histories - Predictive Studies Based on Mining Software Repositories.

Verena Honsel, Steffen Herbold, Jens Grabowski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Adressing problems with external validity of repository mining studies through a smart data platform.

Fabian Trautsch, Steffen Herbold, Philip Makedonski, Jens Grabowski

Proceedings of the 13th International Conference on Mining Software Repositories, 2016

2015

Effizientere IT-Sicherheitstest mit Hilfe von Usagebased Testing.

Martin A. Schneider, Steffen Herbold

Softwaretechnik-Trends, 2015

Automated Deployment and Parallel Execution of Legacy Applications in Cloud Environments (Short Paper).

Michael Göttsche, Fabian Glaser, Steffen Herbold, Jens Grabowski

Proceedings of the 8th IEEE International Conference on Service-Oriented Computing and Applications, 2015

Improving Security Testing with Usage-Based Fuzz Testing.

Martin A. Schneider, Steffen Herbold, Marc-Florian Wendland, Jens Grabowski

Proceedings of the Risk Assessment and Risk-Driven Testing - Third International Workshop, 2015

Novel Insights on Cross Project Fault Prediction Applied to Automotive Software.

Harald Altinger, Steffen Herbold, Jens Grabowski, Franz Wotawa

Proceedings of the Testing Software and Systems, 2015

Intuition vs. Truth: Evaluation of Common Myths about StackOverflow Posts.

Verena Honsel, Steffen Herbold, Jens Grabowski

Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015

Mining Software Dependency Networks for Agent-Based Simulation of Software Evolution.

Verena Honsel, Daniel Honsel, Steffen Herbold, Jens Grabowski, Stephan Waack

Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2015

CrossPare: A Tool for Benchmarking Cross-Project Defect Predictions.

Steffen Herbold

Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2015

The MIDAS Cloud Platform for Testing SOA Applications.

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

Proceedings of the 8th IEEE International Conference on Software Testing, 2015

2014

A Generalized Model of PAC Learning and its Applicability.

Thomas Brodag, Steffen Herbold, Stephan Waack

RAIRO Theor. Informatics Appl., 2014

2013

Training data selection for cross-project defect prediction.

Steffen Herbold

Proceedings of the 9th International Conference on Predictive Models in Software Engineering, 2013

AutoQUEST - Automated Quality Engineering of Event-Driven Software.

Steffen Herbold, Patrick Harms

Proceedings of the Sixth IEEE International Conference on Software Testing, 2013

2012

Usage-based Testing of Event-driven Software.

Steffen Herbold

PhD thesis, 2012

Deployable Capture/Replay Supported by Internal Messages.

Steffen Herbold, Uwe Bünting, Jens Grabowski, Stephan Waack

Adv. Comput., 2012

2011

Calculation and optimization of thresholds for sets of software metrics.

Steffen Herbold, Jens Grabowski, Stephan Waack

Empir. Softw. Eng., 2011

A Model for Usage-Based Testing of Event-Driven Software.

Steffen Herbold, Jens Grabowski, Stephan Waack

Proceedings of the Fifth International Conference on Secure Software Integration and Reliability Improvement, 2011

Improved Bug Reporting and Reproduction through Non-intrusive GUI Usage Monitoring and Automated Replaying.

Steffen Herbold, Jens Grabowski, Stephan Waack, Uwe Bünting

Proceedings of the Fourth IEEE International Conference on Software Testing, 2011

2010

Retrospective Analysis of Software Projects using k-Means Clustering.

Steffen Herbold, Jens Grabowski, Helmut Neukirchen, Stephan Waack

Softwaretechnik-Trends, 2010