Alexander Trautsch

Orcid: 0000-0001-5236-7953

According to our database1, Alexander Trautsch authored at least 38 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Large Language Models can impersonate politicians and other public figures.
CoRR, 2024

Question Type Prediction in Natural Debate.
Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2024

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.
Empir. Softw. Eng., June, 2023

On the Validity of Pre-Trained Transformers for Natural Language Processing in the Software Engineering Domain.
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.
Empir. Softw. Eng., March, 2023

AI, write an essay for me: A large-scale comparison of human-written versus ChatGPT-generated essays.
CoRR, 2023

Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection.
Proceedings of the Software Engineering 2023, 2023

On the Impact of Reconstruction and Context for Argument Prediction in Natural Debate.
Proceedings of the 10th Workshop on Argument Mining, 2023

2022
SmartSHARK 2.2 Small.
Dataset, July, 2022

SmartSHARK 2.2 Full.
Dataset, July, 2022

SmartSHARK 1.3.
Dataset, July, 2022

SmartSHARK 2.1 Full.
Dataset, July, 2022

Automated Static Analysis Tools: A Multidimensional view on Software Quality Evolution.
PhD thesis, 2022

Problems with SZZ and features: An empirical study of the state of practice of defect prediction data collection.
Empir. Softw. Eng., 2022

A fine-grained data set and analysis of tangling in bug fixing commits.
Empir. Softw. Eng., 2022

Predicting Issue Types with seBERT.
Proceedings of the 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE 2022), 2022

2021
SmartSHARK 2.2 Small.
Dataset, December, 2021

SmartSHARK 2.2 Full.
Dataset, December, 2021

SmartSHARK 1.3.
Dataset, December, 2021

SmartSHARK 2.1 Full.
Dataset, November, 2021

SmartSHARK 2.1 Full.
Dataset, September, 2021

Are automated static analysis tools worth it? An investigation into relative warning density and external software quality.
CoRR, 2021

On the differences between quality increasing and other changes in open source Java projects.
CoRR, 2021

The SmartSHARK Repository Mining Data.
CoRR, 2021

Simulating Live Cloud Adaptations Prior to a Production Deployment using a Models at Runtime Approach.
Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, 2021

2020
A longitudinal study of static analysis warning evolution and the effects of PMD on software quality in Apache open source projects.
Empir. Softw. Eng., 2020

Correction to: On the feasibility of automated prediction of bug and non-bug issues.
Empir. Softw. Eng., 2020

On the feasibility of automated prediction of bug and non-bug issues.
Empir. Softw. Eng., 2020

Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling.
CoRR, 2020

On the Feasibility of Automated Issue Type Prediction.
CoRR, 2020

Large-Scale Manual Validation of Bugfixing Changes.
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.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

The SmartSHARK ecosystem for software repository mining.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

2019
Correction of "A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches".
IEEE Trans. Software Eng., 2019

Issues with SZZ: An empirical assessment of the state of practice of defect prediction data collection.
CoRR, 2019

Effects of automated static analysis tools: a multidimensional view on quality evolution.
Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

2018
A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches.
IEEE Trans. Software Eng., 2018

2017
Global vs. local models for cross-project defect prediction - A replication study.
Empir. Softw. Eng., 2017


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