Retrospective Analysis of Software Projects using k-Means Clustering. - Steffen Herbold; Jens Grabowski; Helmut Neukirchen; Stephan Waack (Softwaretechnik-Trends, 2010)

Improved Bug Reporting and Reproduction through Non-intrusive GUI Usage Monitoring and Automated Replaying. - Steffen Herbold; Jens Grabowski; Stephan Waack; Uwe Bünting (ICST Workshops, 2011)

A Model for Usage-Based Testing of Event-Driven Software. - Steffen Herbold; Jens Grabowski; Stephan Waack (SSIRI (Companion), 2011)

Calculation and optimization of thresholds for sets of software metrics. - Steffen Herbold; Jens Grabowski; Stephan Waack (Empir. Softw. Eng., 2011)

Deployable Capture/Replay Supported by Internal Messages. - Steffen Herbold; Uwe Bünting; Jens Grabowski; Stephan Waack (Adv. Comput., 2012)

Usage-based Testing of Event-driven Software. - Steffen Herbold (2012)

AutoQUEST - Automated Quality Engineering of Event-Driven Software. - Steffen Herbold; Patrick Harms (ICST Workshops, 2013)

Training data selection for cross-project defect prediction. - Steffen Herbold (PROMISE, 2013)

A Generalized Model of PAC Learning and its Applicability. - Thomas Brodag; Steffen Herbold; Stephan Waack (RAIRO Theor. Informatics Appl., 2014)

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; et al. (ICST, 2015)

CrossPare: A Tool for Benchmarking Cross-Project Defect Predictions. - Steffen Herbold (ASE Workshops, 2015)

Mining Software Dependency Networks for Agent-Based Simulation of Software Evolution. - Verena Honsel; Daniel Honsel; Steffen Herbold; Jens Grabowski; Stephan Waack (ASE Workshops, 2015)

Intuition vs. Truth: Evaluation of Common Myths about StackOverflow Posts. - Verena Honsel; Steffen Herbold; Jens Grabowski (MSR, 2015)

Novel Insights on Cross Project Fault Prediction Applied to Automotive Software. - Harald Altinger; Steffen Herbold; Jens Grabowski; Franz Wotawa (ICTSS, 2015)

Improving Security Testing with Usage-Based Fuzz Testing. - Martin A. Schneider; Steffen Herbold; Marc-Florian Wendland; Jens Grabowski (RISK, 2015)

Automated Deployment and Parallel Execution of Legacy Applications in Cloud Environments (Short Paper). - Michael Göttsche; Fabian Glaser; Steffen Herbold; Jens Grabowski (SOCA, 2015)

Effizientere IT-Sicherheitstest mit Hilfe von Usagebased Testing. - Martin A. Schneider; Steffen Herbold (Softwaretechnik-Trends, 2015)

Adressing problems with external validity of repository mining studies through a smart data platform. - Fabian Trautsch; Steffen Herbold; Philip Makedonski; Jens Grabowski (MSR, 2016)

Learning from Software Project Histories - Predictive Studies Based on Mining Software Repositories. - Verena Honsel; Steffen Herbold; Jens Grabowski (ECML/PKDD (3), 2016)

Hidden Markov Models for the Prediction of Developer Involvement Dynamics and Workload. - Verena Honsel; Steffen Herbold; Jens Grabowski (PROMISE, 2016)

On the Relatively Small Impact of Deep Dependencies on Cloud Application Reliability. - Xiaowei Wang 001; Fabian Glaser; Steffen Herbold; Jens Grabowski (CLOUD, 2017)

Performance tuning for automotive Software Fault Prediction. - Harald Altinger; Steffen Herbold; Friederike Schneemann; Jens Grabowski; Franz Wotawa (SANER, 2017)

A systematic mapping study on cross-project defect prediction. - Steffen Herbold (CoRR, 2017)

Global vs. local models for cross-project defect prediction - A replication study. - Steffen Herbold; Alexander Trautsch; Jens Grabowski (Empir. Softw. Eng., 2017)

Model-based testing as a service. - Steffen Herbold; Andreas Hoffmann 001 (Int. J. Softw. Tools Technol. Transf., 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)

Comments on ScottKnottESD in Response to "An Empirical Comparison of Model Validation Techniques for Defect Prediction Models". - Steffen Herbold (IEEE Trans. Software Eng., 2017)

Benchmarking cross-project defect prediction approaches with costs metrics. - Steffen Herbold (CoRR, 2018)

An Industrial Case Study on Shrinking Code Review Changesets through Remark Prediction. - Tobias Baum; Steffen Herbold; Kurt Schneider (CoRR, 2018)

A Multi-Objective Anytime Rule Mining System to Ease Iterative Feedback from Domain Experts. - Tobias Baum; Steffen Herbold; Kurt Schneider (CoRR, 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 Comparative Study to Benchmark Cross-Project Defect Prediction Approaches. - Steffen Herbold; Alexander Trautsch; Jens Grabowski (IEEE Trans. Software Eng., 2018)

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)

Issues with SZZ: An empirical assessment of the state of practice of defect prediction data collection. - Steffen Herbold; Alexander Trautsch; Fabian Trautsch (CoRR, 2019)

Correction of "A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches". - Steffen Herbold; Alexander Trautsch; Jens Grabowski (IEEE Trans. Software Eng., 2019)

With registered reports towards large scale data curation. - Steffen Herbold (ICSE (NIER), 2020)

The SmartSHARK ecosystem for software repository mining. - Alexander Trautsch; Fabian Trautsch; Steffen Herbold; Benjamin Ledel; Jens Grabowski (ICSE (Companion Volume), 2020)

Static source code metrics and static analysis warnings for fine-grained just-in-time defect prediction. - Alexander Trautsch; Steffen Herbold; Jens Grabowski (ICSME, 2020)

Large-Scale Manual Validation of Bugfixing Changes. - Steffen Herbold; Alexander Trautsch; Benjamin Ledel (MSR, 2020)

On the Feasibility of Automated Issue Type Prediction. - Steffen Herbold; Alexander Trautsch; Fabian Trautsch (CoRR, 2020)

Smoke Testing for Machine Learning: Simple Tests to Discover Severe Defects. - Steffen Herbold; Tobias Haar (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; et al. (CoRR, 2020)

Automatic source localization and spectra generation from deconvolved beamforming maps. - Armin Goudarzi; Carsten Spehr; Steffen Herbold (CoRR, 2020)

On the feasibility of automated prediction of bug and non-bug issues. - Steffen Herbold; Alexander Trautsch; Fabian Trautsch (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)

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)

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)

Autorank: A Python package for automated ranking of classifiers. - Steffen Herbold (J. Open Source Softw., 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)

On the Cost and Profit of Software Defect Prediction. - Steffen Herbold (Software Engineering, 2021)

The SmartSHARK Repository Mining Data. - Alexander Trautsch; Steffen Herbold (CoRR, 2021)

Expert decision support system for aeroacoustic classification. - Armin Goudarzi; Carsten Spehr; Steffen Herbold (CoRR, 2021)

Exploring the relationship between performance metrics and cost saving potential of defect prediction models. - Steffen Herbold (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)

On the differences between quality increasing and other changes in open source Java projects. - Alexander Trautsch; Johannes Erbel; Steffen Herbold; Jens Grabowski (CoRR, 2021)

Broccoli: Bug localization with the help of text search engines. - Benjamin Ledel; Steffen Herbold (CoRR, 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)

A systematic mapping study of developer social network research. - Steffen Herbold; Aynur Amirfallah; Fabian Trautsch; Jens Grabowski (J. Syst. Softw., 2021)

On the Costs and Profit of Software Defect Prediction. - Steffen Herbold (IEEE Trans. Software Eng., 2021)

SmartSHARK 2.1 Full. - Alexander Trautsch; Fabian Trautsch; Steffen Herbold (GRO.data, 2021)

SmartSHARK 2.1 Small. - Alexander Trautsch; Fabian Trautsch; Steffen Herbold (GRO.data, 2021)

SmartSHARK 2.1 Full. - Alexander Trautsch; Fabian Trautsch; Steffen Herbold (GRO.data, 2021)

SmartSHARK 2.1 Small. - Alexander Trautsch; Fabian Trautsch; Steffen Herbold (GRO.data, 2021)

SmartSHARK 1.3. - Alexander Trautsch; Fabian Trautsch; Steffen Herbold (GRO.data, 2021)

SmartSHARK 2.2 Full. - Alexander Trautsch; Fabian Trautsch; Steffen Herbold (GRO.data, 2021)

SmartSHARK 2.2 Small. - Alexander Trautsch; Fabian Trautsch; Steffen Herbold (GRO.data, 2021)

Predicting Issue Types with seBERT. - Alexander Trautsch; Steffen Herbold (NLBSE, 2022)

Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP. - Benjamin Ledel; Steffen Herbold (CoRR, 2022)

Smoke testing for machine learning: simple tests to discover severe bugs. - Steffen Herbold; Tobias Haar (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; Kristóf Szabados; Helge Spieker; et al. (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)

Exploring the relationship between performance metrics and cost saving potential of defect prediction models. - Steffen Tunkel; Steffen Herbold (Empir. Softw. Eng., 2022)

SmartSHARK 2.1 Full. - Alexander Trautsch; Fabian Trautsch; Steffen Herbold (GRO.data, 2022)

SmartSHARK 1.3. - Alexander Trautsch; Fabian Trautsch; Steffen Herbold (GRO.data, 2022)

SmartSHARK 2.2 Full. - Alexander Trautsch; Fabian Trautsch; Steffen Herbold (GRO.data, 2022)

SmartSHARK 2.2 Small. - Alexander Trautsch; Fabian Trautsch; Steffen Herbold (GRO.data, 2022)

SmartSHARK 2.1 Small. - Alexander Trautsch; Fabian Trautsch; Steffen Herbold (GRO.data, 2022)

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 (ArgMining@EMNLP, 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 (Software Engineering, 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 (ESEC/SIGSOFT FSE, 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 001 (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)

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 001 (CoRR, 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)

Differential testing for machine learning: an analysis for classification algorithms beyond deep learning. - Steffen Herbold; Steffen Tunkel (Empir. Softw. Eng., 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., 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., 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., 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., 2023)

Question Type Prediction in Natural Debate. - Zlata Kikteva; Alexander Trautsch; Steffen Herbold; Annette Hautli-Janisz (SIGDIAL, 2024)

Large Language Models can impersonate politicians and other public figures. - Steffen Herbold; Alexander Trautsch; Zlata Kikteva; Annette Hautli-Janisz (CoRR, 2024)

Perspective of Software Engineering Researchers on Machine Learning Practices Regarding Research, Review, and Education. - Anamaria Mojica-Hanke; David Nader-Palacio; Denys Poshyvanyk; Mario Linares-Vásquez; Steffen Herbold (CoRR, 2024)

Semantic similarity prediction is better than other semantic similarity measures. - Steffen Herbold (Trans. Mach. Learn. Res., 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., 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., 2024)

From Isolates to Families: Using Neural Networks for Automated Language Affiliation. - Frederic Blum; Steffen Herbold; Johann-Mattis List (ACL (1), 2025)

Neurosymbolic Architectural Reasoning: Towards Formal Analysis through Neural Software Architecture Inference. - Steffen Herbold; Christoph Knieke; Andreas Rausch 001; Christian Schindler (NSE@ICSE, 2025)

Evaluating the Performance and Efficiency of Sentence-BERT for Code Comment Classification. - Fabian C. Peña; Steffen Herbold (NLBSE@ICSE, 2025)

Legal Aspects for Software Developers Interested in Generative AI Applications. - Steffen Herbold; Brian Valerius; Anamaria Mojica-Hanke; Isabella Lex; Joel Mittel (IEEE Softw., 2025)

MAMUT: A Novel Framework for Modifying Mathematical Formulas for the Generation of Specialized Datasets for Language Model Training. - Jonathan Drechsel; Anja Reusch; Steffen Herbold (Trans. Mach. Learn. Res., 2025)

GRADIEND: Monosemantic Feature Learning within Neural Networks Applied to Gender Debiasing of Transformer Models. - Jonathan Drechsel; Steffen Herbold (CoRR, 2025)

SortBench: Benchmarking LLMs based on their ability to sort lists. - Steffen Herbold (CoRR, 2025)

Evaluating Large Language Models on Non-Code Software Engineering Tasks. - Fabian C. Peña; Steffen Herbold (CoRR, 2025)