Steffen Herbold

Steffen Herbold

Georg-August-Universität Göttingen

H-index: 22

Europe-Germany

About Steffen Herbold

Steffen Herbold, With an exceptional h-index of 22 and a recent h-index of 20 (since 2020), a distinguished researcher at Georg-August-Universität Göttingen,

His recent articles reflect a diverse array of research interests and contributions to the field:

Legal Aspects for Software Developers Interested in Generative AI Applications

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

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

Semantic similarity prediction is better than other semantic similarity measures

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

Galba: genome annotation with miniprot and AUGUSTUS

What are the machine learning best practices reported by practitioners on stack exchange?

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

Steffen Herbold Information

University

Position

___

Citations(all)

1624

Citations(since 2020)

1266

Cited By

737

hIndex(all)

22

hIndex(since 2020)

20

i10Index(all)

38

i10Index(since 2020)

29

Email

University Profile Page

Georg-August-Universität Göttingen

Google Scholar

View Google Scholar Profile

Top articles of Steffen Herbold

Title

Journal

Author(s)

Publication Date

Legal Aspects for Software Developers Interested in Generative AI Applications

arXiv preprint arXiv:2404.16630

Steffen Herbold

Brian Valerius

Anamaria Mojica-Hanke

Isabella Lex

Joel Mittel

2024/4/25

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

arXiv preprint arXiv:2104.02517

Zaheed Ahmed

Eike Stein

Steffen Herbold

Fabian Trautsch

Jens Grabowski

2021/4/6

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

Empirical Software Engineering

Alexander Trautsch

Johannes Erbel

Steffen Herbold

Jens Grabowski

2023/3

Semantic similarity prediction is better than other semantic similarity measures

arXiv preprint arXiv:2309.12697

Steffen Herbold

2023/9/22

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

Empirical Software Engineering

Steffen Herbold

Steffen Tunkel

2023/3

Galba: genome annotation with miniprot and AUGUSTUS

BMC bioinformatics

Tomáš Brůna

Heng Li

Joseph Guhlin

Daniel Honsel

Steffen Herbold

...

2023/8/31

What are the machine learning best practices reported by practitioners on stack exchange?

arXiv preprint arXiv:2301.10516

Anamaria Mojica-Hanke

Andrea Bayona

Mario Linares-Vásquez

Steffen Herbold

Fabio A González

2023/1/25

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

Zlata Kikteva

Alexander Trautsch

Patrick Katzer

Mirko Oest

Steffen Herbold

...

2023/12

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

Empirical Software Engineering

Alexander Trautsch

Steffen Herbold

Jens Grabowski

2023/6

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

arXiv preprint arXiv:2304.06367

Anne Henning

Lukas Schulte

Steffen Herbold

Oksana Kulyk

Peter Mayer

2023/4/13

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

Laura Cabra-Acela

Anamaria Mojica-Hanke

Mario Linares-Vásquez

Steffen Herbold

2023/11/30

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

arXiv preprint arXiv:2304.05358

Lukas Schulte

Anamaria Mojica-Hanke

Mario Linares-Vásquez

Steffen Herbold

2023/4/11

A large-scale comparison of human-written versus ChatGPT-generated essays

Scientific Reports

Steffen Herbold

Annette Hautli-Janisz

Ute Heuer

Zlata Kikteva

Alexander Trautsch

2023/10/30

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

Empirical Software Engineering

Steffen Herbold

Tobias Haar

2022/3

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

arXiv preprint arXiv:2209.07623

Benjamin Ledel

Steffen Herbold

2022/9/15

A Study of ASAT warning evolution

Automated Static Analysis Tools: A Multidimensional View on Software Quality Evolution

A Trautsch

S Herbold

J Grabowski

2022/7/7

Expert decision support system for aeroacoustic source type identification using clustering

The Journal of the Acoustical Society of America

Armin Goudarzi

Carsten Spehr

Steffen Herbold

2022/2/1

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

IEEE Transactions on Software Engineering

Julian Von der Mosel

Alexander Trautsch

Steffen Herbold

2022/5/30

Data-Science-Crashkurs: eine interaktive und praktische Einführung

Steffen Herbold

2022/1/8

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

Empirical Software Engineering

Steffen Herbold

Alexander Trautsch

Fabian Trautsch

Benjamin Ledel

2022/3

See List of Professors in Steffen Herbold University(Georg-August-Universität Göttingen)

Co-Authors

H-index: 41
Franz Wotawa

Franz Wotawa

Technische Universität Graz

H-index: 41
Kurt Schneider

Kurt Schneider

Leibniz Universität Hannover

H-index: 31
Jens Grabowski

Jens Grabowski

Georg-August-Universität Göttingen

H-index: 23
Stephan Waack

Stephan Waack

Georg-August-Universität Göttingen

H-index: 11
Altinger Harald

Altinger Harald

Technische Universität Graz

H-index: 11
Alexander Trautsch

Alexander Trautsch

Georg-August-Universität Göttingen

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