Steffen Herbold

126 papers A* 1A 6B 2C 10Journal 86Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Formal Framework for Uncertainty Analysis of Text Generation with Large Language Models. CoRR Steffen Herbold, Florian Lemmerich
2026	J	`jnl`	An exploratory study of bug-introducing changes: exploring relationships in bug-introducing changes towards causal understanding. Empir. Softw. Eng. Lukas Schulte, Anamaria Mojica-Hanke, Mario Linares-Vásquez, Steffen Herbold
2026	J	`jnl`	Causal Inference for the Effect of Code Coverage on Bug Introduction. CoRR Lukas Schulte, Gordon Fraser, Steffen Herbold
2026	J	`jnl`	Criminal Liability of Generative Artificial Intelligence Providers for User-Generated Child Sexual Abuse Material. CoRR Anamaria Mojica-Hanke, Thomas Goger, Svenja Wölfel, Brian Valerius, Steffen Herbold
2026	J	`jnl`	The GRADIEND Python Package: An End-to-End System for Gradient-Based Feature Learning. CoRR Jonathan Drechsel, Steffen Herbold
2026	J	`jnl`	The whos, whats, and whys of issues related to personal data and data protection in open-source projects on GitHub. Empir. Softw. Eng. Anne Hennig, Lukas Schulte, Steffen Herbold, Oksana Kulyk, Peter Mayer
2026	J	`jnl`	Understanding or Memorizing? A Case Study of German Definite Articles in Language Models. CoRR Jonathan Drechsel, Erisa Bytyqi, Steffen Herbold
2025	J	`jnl`	Evaluating Large Language Models on Non-Code Software Engineering Tasks. CoRR Fabian C. Peña, Steffen Herbold
2025	—	`conf`	Evaluating the Performance and Efficiency of Sentence-BERT for Code Comment Classification. NLBSE@ICSE Fabian C. Peña, Steffen Herbold
2025	J	`jnl`	Evaluating the Performance and Efficiency of Sentence-BERT for Code Comment Classification. CoRR Fabian C. Peña, Steffen Herbold
2025	—	`conf`	From Isolates to Families: Using Neural Networks for Automated Language Affiliation. ACL (1) Frederic Blum, Steffen Herbold, Johann-Mattis List
2025	J	`jnl`	From Isolates to Families: Using Neural Networks for Automated Language Affiliation. CoRR Frederic Blum, Steffen Herbold, Johann-Mattis List
2025	J	`jnl`	GRADIEND: Monosemantic Feature Learning within Neural Networks Applied to Gender Debiasing of Transformer Models. CoRR Jonathan Drechsel, Steffen Herbold
2025	J	`jnl`	Legal Aspects for Software Developers Interested in Generative AI Applications. IEEE Softw. Steffen Herbold, Brian Valerius, Anamaria Mojica-Hanke, Isabella Lex, Joel Mittel
2025	J	`jnl`	MAMUT: A Novel Framework for Modifying Mathematical Formulas for the Generation of Specialized Datasets for Language Model Training. CoRR Jonathan Drechsel, Anja Reusch, Steffen Herbold
2025	J	`jnl`	MAMUT: A Novel Framework for Modifying Mathematical Formulas for the Generation of Specialized Datasets for Language Model Training. Trans. Mach. Learn. Res. Jonathan Drechsel, Anja Reusch, Steffen Herbold
2025	—	`conf`	Neurosymbolic Architectural Reasoning: Towards Formal Analysis through Neural Software Architecture Inference. NSE@ICSE Steffen Herbold, Christoph Knieke, Andreas Rausch, Christian Schindler
2025	J	`jnl`	Neurosymbolic Architectural Reasoning: Towards Formal Analysis through Neural Software Architecture Inference. CoRR Steffen Herbold, Christoph Knieke, Andreas Rausch, Christian Schindler
2025	J	`jnl`	SortBench: Benchmarking LLMs based on their ability to sort lists. CoRR Steffen Herbold
2025	J	`jnl`	Studying memorization of large language models using answers to Stack Overflow questions. Trans. Mach. Learn. Res. Laura Caspari, Alexander Trautsch, Michael Granitzer, Steffen Herbold
2025	J	`jnl`	Utilizing LLMs for Industrial Process Automation: A Case Study on Modifying RAPID Programs. CoRR Salim Fares, Steffen Herbold
2024	J	`jnl`	A new perspective on the competent programmer hypothesis through the reproduction of real faults with repeated mutations. Softw. Test. Verification Reliab. Zaheed Ahmed, Eike Schwass, Steffen Herbold, Fabian Trautsch, Jens Grabowski
2024	J	`jnl`	Large Language Models can impersonate politicians and other public figures. CoRR Steffen Herbold, Alexander Trautsch, Zlata Kikteva, Annette Hautli-Janisz
2024	J	`jnl`	Legal Aspects for Software Developers Interested in Generative AI Applications. CoRR Steffen Herbold, Brian Valerius, Anamaria Mojica-Hanke, Isabella Lex, Joel Mittel
2024	J	`jnl`	Perspective of Software Engineering Researchers on Machine Learning Practices Regarding Research, Review, and Education. CoRR Anamaria Mojica-Hanke, David Nader-Palacio, Denys Poshyvanyk, Mario Linares-Vásquez, Steffen Herbold
2024	B	`conf`	Question Type Prediction in Natural Debate. SIGDIAL Zlata Kikteva, Alexander Trautsch, Steffen Herbold, Annette Hautli-Janisz
2024	J	`jnl`	Semantic similarity prediction is better than other semantic similarity measures. Trans. Mach. Learn. Res. Steffen Herbold
2024	J	`jnl`	Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP. Empir. Softw. Eng. Lukas Schulte, Benjamin Ledel, Steffen Herbold
2023	J	`jnl`	AI, write an essay for me: A large-scale comparison of human-written versus ChatGPT-generated essays. CoRR Steffen Herbold, Annette Hautli-Janisz, Ute Heuer, Zlata Kikteva, Alexander Trautsch
2023	J	`jnl`	An exploratory study of bug-introducing changes: what happens when bugs are introduced in open source software? CoRR Lukas Schulte, Anamaria Mojica-Hanke, Mario Linares-Vásquez, Steffen Herbold
2023	J	`jnl`	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. Alexander Trautsch, Steffen Herbold, Jens Grabowski
2023	J	`jnl`	Differential testing for machine learning: an analysis for classification algorithms beyond deep learning. Empir. Softw. Eng. Steffen Herbold, Steffen Tunkel
2023	C	`conf`	Exploring the relationship between performance metrics and cost saving potential of defect prediction models. Software Engineering Steffen Tunkel, Steffen Herbold
2023	J	`jnl`	Galba: genome annotation with miniprot and AUGUSTUS. BMC Bioinform. Tomás Bruna, Heng Li, Joseph Guhlin, Daniel Honsel, Steffen Herbold, Mario Stanke, Natalia Nenasheva, Matthis Ebel, Lars Gabriel, Katharina Jasmin Hoff
2023	—	`conf`	On Using Information Retrieval to Recommend Machine Learning Good Practices for Software Engineers. ESEC/SIGSOFT FSE Laura Cabra-Acela, Anamaria Mojica-Hanke, Mario Linares-Vásquez, Steffen Herbold
2023	J	`jnl`	On Using Information Retrieval to Recommend Machine Learning Good Practices for Software Engineers. CoRR Laura Cabra-Acela, Anamaria Mojica-Hanke, Mario Linares-Vásquez, Steffen Herbold
2023	—	`conf`	On the Impact of Reconstruction and Context for Argument Prediction in Natural Debate. ArgMining@EMNLP Zlata Kikteva, Alexander Trautsch, Patrick Katzer, Mirko Oest, Steffen Herbold, Annette Hautli-Janisz
2023	J	`jnl`	On the Validity of Pre-Trained Transformers for Natural Language Processing in the Software Engineering Domain. IEEE Trans. Software Eng. Julian von der Mosel, Alexander Trautsch, Steffen Herbold
2023	C	`conf`	On the validity of pre-trained transformers for natural language processing in the software engineering domain. Software Engineering Julian von der Mosel, Alexander Trautsch, Steffen Herbold
2023	C	`conf`	Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection. Software Engineering Steffen Herbold, Alexander Trautsch, Fabian Trautsch, Benjamin Ledel
2023	—	`ed.`	Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2023, San Francisco, CA, USA, 8 December 2023 PROMISE Shane McIntosh, Eunjong Choi, Steffen Herbold
2023	J	`jnl`	Semantic similarity prediction is better than other semantic similarity measures. CoRR Steffen Herbold
2023	C	`conf`	Smoke testing for machine learning: simple tests to discover severe bugs. Software Engineering Steffen Herbold, Tobias Haar
2023	J	`jnl`	Understanding issues related to personal data and data protection in open source projects on GitHub. CoRR Anne Hennig, Lukas Schulte, Steffen Herbold, Oksana Kulyk, Peter Mayer
2023	J	`jnl`	What are the Machine Learning best practices reported by practitioners on Stack Exchange? CoRR Anamaria Mojica-Hanke, Andrea Bayona, Mario Linares-Vásquez, Steffen Herbold, Fabio A. González
2023	J	`jnl`	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. Alexander Trautsch, Johannes Erbel, Steffen Herbold, Jens Grabowski
2022	J	`jnl`	A fine-grained data set and analysis of tangling in bug fixing commits. Empir. Softw. Eng. 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 C. Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel
2022	J	`jnl`	Differential testing for machine learning: an analysis for classification algorithms beyond deep learning. CoRR Steffen Herbold, Steffen Tunkel
2022	J	`jnl`	Exploring the relationship between performance metrics and cost saving potential of defect prediction models. Empir. Softw. Eng. Steffen Tunkel, Steffen Herbold
2022	—	`conf`	Predicting Issue Types with seBERT. NLBSE Alexander Trautsch, Steffen Herbold
2022	J	`jnl`	Predicting Issue Types with seBERT. CoRR Alexander Trautsch, Steffen Herbold
2022	J	`jnl`	Problems with SZZ and features: An empirical study of the state of practice of defect prediction data collection. Empir. Softw. Eng. Steffen Herbold, Alexander Trautsch, Fabian Trautsch, Benjamin Ledel
2022	J	`jnl`	Smoke testing for machine learning: simple tests to discover severe bugs. Empir. Softw. Eng. Steffen Herbold, Tobias Haar
2022	J	`jnl`	Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP. CoRR Benjamin Ledel, Steffen Herbold
2021	C	`conf`	A Longitudinal Study of Static Analysis Warning Evolution and the Effects of PMD on Software Quality in Apache Open Source Projects. Software Engineering Alexander Trautsch, Steffen Herbold, Jens Grabowski
2021	C	`conf`	A Systematic Mapping Study of Developer Social Network Research. Software Engineering Steffen Herbold, Aynur Amirfallah, Fabian Trautsch, Jens Grabowski
2021	J	`jnl`	A new perspective on the competent programmer hypothesis through the reproduction of bugs with repeated mutations. CoRR Eike Stein, Steffen Herbold, Fabian Trautsch, Jens Grabowski
2021	J	`jnl`	A systematic mapping study of developer social network research. J. Syst. Softw. Steffen Herbold, Aynur Amirfallah, Fabian Trautsch, Jens Grabowski
2021	C	`conf`	Are Unit and Integration Test Definitions Still Valid for Modern Java Projects? An Empirical Study on Open-Source Projects. Software Engineering Fabian Trautsch, Steffen Herbold, Jens Grabowski
2021	J	`jnl`	Are automated static analysis tools worth it? An investigation into relative warning density and external software quality. CoRR Alexander Trautsch, Steffen Herbold, Jens Grabowski
2021	J	`jnl`	Broccoli: Bug localization with the help of text search engines. CoRR Benjamin Ledel, Steffen Herbold
2021	J	`jnl`	Expert decision support system for aeroacoustic classification. CoRR Armin Goudarzi, Carsten Spehr, Steffen Herbold
2021	J	`jnl`	Exploring the relationship between performance metrics and cost saving potential of defect prediction models. CoRR Steffen Herbold
2021	C	`conf`	On the Cost and Profit of Software Defect Prediction. Software Engineering Steffen Herbold
2021	J	`jnl`	On the Costs and Profit of Software Defect Prediction. IEEE Trans. Software Eng. Steffen Herbold
2021	C	`conf`	On the Feasibility of Automated Prediction of Bug and Non-Bug Issues. Software Engineering Steffen Herbold, Alexander Trautsch, Fabian Trautsch
2021	J	`jnl`	On the differences between quality increasing and other changes in open source Java projects. CoRR Alexander Trautsch, Johannes Erbel, Steffen Herbold, Jens Grabowski
2021	J	`jnl`	On the validity of pre-trained transformers for natural language processing in the software engineering domain. CoRR Julian von der Mosel, Alexander Trautsch, Steffen Herbold
2021	J	`jnl`	The SmartSHARK Repository Mining Data. CoRR Alexander Trautsch, Steffen Herbold
2020	J	`jnl`	A longitudinal study of static analysis warning evolution and the effects of PMD on software quality in Apache open source projects. Empir. Softw. Eng. Alexander Trautsch, Steffen Herbold, Jens Grabowski
2020	J	`jnl`	Are unit and integration test definitions still valid for modern Java projects? An empirical study on open-source projects. J. Syst. Softw. Fabian Trautsch, Steffen Herbold, Jens Grabowski
2020	J	`jnl`	Automatic source localization and spectra generation from deconvolved beamforming maps. CoRR Armin Goudarzi, Carsten Spehr, Steffen Herbold
2020	J	`jnl`	Autorank: A Python package for automated ranking of classifiers. J. Open Source Softw. Steffen Herbold
2020	J	`jnl`	Correction to: On the feasibility of automated prediction of bug and non-bug issues. Empir. Softw. Eng. Steffen Herbold, Alexander Trautsch, Fabian Trautsch
2020	J	`jnl`	GIMO: A multi-objective anytime rule mining system to ease iterative feedback from domain experts. Expert Syst. Appl. X Tobias Baum, Steffen Herbold, Kurt Schneider
2020	J	`jnl`	Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling. CoRR 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 C. Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel
2020	A	`conf`	Large-Scale Manual Validation of Bugfixing Changes. MSR Steffen Herbold, Alexander Trautsch, Benjamin Ledel
2020	J	`jnl`	On the Feasibility of Automated Issue Type Prediction. CoRR Steffen Herbold, Alexander Trautsch, Fabian Trautsch
2020	J	`jnl`	On the feasibility of automated prediction of bug and non-bug issues. Empir. Softw. Eng. Steffen Herbold, Alexander Trautsch, Fabian Trautsch
2020	J	`jnl`	Smoke Testing for Machine Learning: Simple Tests to Discover Severe Defects. CoRR Steffen Herbold, Tobias Haar
2020	A	`conf`	Static source code metrics and static analysis warnings for fine-grained just-in-time defect prediction. ICSME Alexander Trautsch, Steffen Herbold, Jens Grabowski
2020	J	`jnl`	The SmartSHARK Ecosystem for Software Repository Mining. CoRR Alexander Trautsch, Fabian Trautsch, Steffen Herbold, Benjamin Ledel, Jens Grabowski
2020	—	`conf`	The SmartSHARK ecosystem for software repository mining. ICSE (Companion Volume) Alexander Trautsch, Fabian Trautsch, Steffen Herbold, Benjamin Ledel, Jens Grabowski
2020	J	`jnl`	With Registered Reports Towards Large Scale Data Curation. CoRR Steffen Herbold
2020	—	`conf`	With registered reports towards large scale data curation. ICSE (NIER) Steffen Herbold
2019	J	`jnl`	A Longitudinal Study of Static Analysis Warning Evolution and the Effects of PMD on Software Quality in Apache Open Source Projects. CoRR Alexander Trautsch, Steffen Herbold, Jens Grabowski
2019	J	`jnl`	A systematic mapping study of developer social network research. CoRR Aynur Amirfallah, Fabian Trautsch, Jens Grabowski, Steffen Herbold
2019	J	`jnl`	Chapter Seven - Experiences With Replicable Experiments and Replication Kits for Software Engineering Research. Adv. Comput. Steffen Herbold, Fabian Trautsch, Patrick Harms, Verena Herbold, Jens Grabowski
2019	J	`jnl`	Correction of "A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches". IEEE Trans. Software Eng. Steffen Herbold, Alexander Trautsch, Jens Grabowski
2019	J	`jnl`	Issues with SZZ: An empirical assessment of the state of practice of defect prediction data collection. CoRR Steffen Herbold, Alexander Trautsch, Fabian Trautsch
2019	J	`jnl`	On the costs and profit of software defect prediction. CoRR Steffen Herbold
2018	J	`jnl`	A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches. IEEE Trans. Software Eng. Steffen Herbold, Alexander Trautsch, Jens Grabowski
2018	J	`jnl`	A Multi-Objective Anytime Rule Mining System to Ease Iterative Feedback from Domain Experts. CoRR Tobias Baum, Steffen Herbold, Kurt Schneider
2018	A*	`conf`	A comparative study to benchmark cross-project defect prediction approaches. ICSE Steffen Herbold, Alexander Trautsch, Jens Grabowski
2018	J	`jnl`	Addressing problems with replicability and validity of repository mining studies through a smart data platform. Empir. Softw. Eng. Fabian Trautsch, Steffen Herbold, Philip Makedonski, Jens Grabowski
2018	J	`jnl`	An Industrial Case Study on Shrinking Code Review Changesets through Remark Prediction. CoRR Tobias Baum, Steffen Herbold, Kurt Schneider
2018	J	`jnl`	Benchmarking cross-project defect prediction approaches with costs metrics. CoRR Steffen Herbold
2017	J	`jnl`	A systematic mapping study on cross-project defect prediction. CoRR Steffen Herbold
2017	J	`jnl`	Combining usage-based and model-based testing for service-oriented architectures in the industrial practice. Int. J. Softw. Tools Technol. Transf. Steffen Herbold, Patrick Harms, Jens Grabowski
2017	J	`jnl`	Comments on ScottKnottESD in Response to "An Empirical Comparison of Model Validation Techniques for Defect Prediction Models". IEEE Trans. Software Eng. Steffen Herbold
2017	J	`jnl`	Correction of "A Comparative Study to Benchmark Cross-project Defect Prediction Approaches". CoRR Steffen Herbold, Alexander Trautsch, Jens Grabowski
2017	J	`jnl`	Global vs. local models for cross-project defect prediction - A replication study. Empir. Softw. Eng. Steffen Herbold, Alexander Trautsch, Jens Grabowski
2017	J	`jnl`	Model-based testing as a service. Int. J. Softw. Tools Technol. Transf. Steffen Herbold, Andreas Hoffmann
2017	B	`conf`	On the Relatively Small Impact of Deep Dependencies on Cloud Application Reliability. CLOUD Xiaowei Wang, Fabian Glaser, Steffen Herbold, Jens Grabowski
2017	A	`conf`	Performance tuning for automotive Software Fault Prediction. SANER Harald Altinger, Steffen Herbold, Friederike Schneemann, Jens Grabowski, Franz Wotawa
2016	A	`conf`	Adressing problems with external validity of repository mining studies through a smart data platform. MSR Fabian Trautsch, Steffen Herbold, Philip Makedonski, Jens Grabowski
2016	—	`conf`	Hidden Markov Models for the Prediction of Developer Involvement Dynamics and Workload. PROMISE Verena Honsel, Steffen Herbold, Jens Grabowski
2016	—	`conf`	Learning from Software Project Histories - Predictive Studies Based on Mining Software Repositories. ECML/PKDD (3) Verena Honsel, Steffen Herbold, Jens Grabowski
2016	—	`ed.`	System Analysis and Modeling. Technology-Specific Aspects of Models - 9th International Conference, SAM 2016, Saint-Melo, France, October 3-4, 2016, Proceedings SAM Jens Grabowski, Steffen Herbold
2015	—	`conf`	Automated Deployment and Parallel Execution of Legacy Applications in Cloud Environments (Short Paper). SOCA Michael Göttsche, Fabian Glaser, Steffen Herbold, Jens Grabowski
2015	—	`conf`	CrossPare: A Tool for Benchmarking Cross-Project Defect Predictions. ASE Workshops Steffen Herbold
2015	J	`jnl`	Effizientere IT-Sicherheitstest mit Hilfe von Usagebased Testing. Softwaretechnik-Trends Martin A. Schneider, Steffen Herbold
2015	—	`conf`	Improving Security Testing with Usage-Based Fuzz Testing. RISK Martin A. Schneider, Steffen Herbold, Marc-Florian Wendland, Jens Grabowski
2015	A	`conf`	Intuition vs. Truth: Evaluation of Common Myths about StackOverflow Posts. MSR Verena Honsel, Steffen Herbold, Jens Grabowski
2015	—	`conf`	Mining Software Dependency Networks for Agent-Based Simulation of Software Evolution. ASE Workshops Verena Honsel, Daniel Honsel, Steffen Herbold, Jens Grabowski, Stephan Waack
2015	C	`conf`	Novel Insights on Cross Project Fault Prediction Applied to Automotive Software. ICTSS Harald Altinger, Steffen Herbold, Jens Grabowski, Franz Wotawa
2015	A	`conf`	The MIDAS Cloud Platform for Testing SOA Applications. ICST 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
2014	J	`jnl`	A Generalized Model of PAC Learning and its Applicability. RAIRO Theor. Informatics Appl. Thomas Brodag, Steffen Herbold, Stephan Waack
2013	—	`conf`	AutoQUEST - Automated Quality Engineering of Event-Driven Software. ICST Workshops Steffen Herbold, Patrick Harms
2013	—	`conf`	Training data selection for cross-project defect prediction. PROMISE Steffen Herbold
2012	J	`jnl`	Deployable Capture/Replay Supported by Internal Messages. Adv. Comput. Steffen Herbold, Uwe Bünting, Jens Grabowski, Stephan Waack
2012	—	`—`	Usage-based Testing of Event-driven Software. Steffen Herbold
2011	—	`conf`	A Model for Usage-Based Testing of Event-Driven Software. SSIRI (Companion) Steffen Herbold, Jens Grabowski, Stephan Waack
2011	J	`jnl`	Calculation and optimization of thresholds for sets of software metrics. Empir. Softw. Eng. Steffen Herbold, Jens Grabowski, Stephan Waack
2011	—	`conf`	Improved Bug Reporting and Reproduction through Non-intrusive GUI Usage Monitoring and Automated Replaying. ICST Workshops Steffen Herbold, Jens Grabowski, Stephan Waack, Uwe Bünting
2010	J	`jnl`	Retrospective Analysis of Software Projects using k-Means Clustering. Softwaretechnik-Trends Steffen Herbold, Jens Grabowski, Helmut Neukirchen, Stephan Waack