Moritz Mock

Orcid: 0009-0009-3156-6211

According to our database1, Moritz Mock authored at least 12 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
The Effect of Idea Elaboration on the Automatic Assessment of Idea Originality.
CoRR, April, 2026

Reading Between the Code Lines: On the Use of Self-Admitted Technical Debt for Security Analysis.
CoRR, February, 2026

Beyond Balance-Addressing class imbalance in fine-tuning deep learners.
Sci. Comput. Program., 2026

2025
Cross-Domain Evaluation of Transformer-Based Vulnerability Detection on Open & Industry Data.
CoRR, September, 2025

Cross-Domain Evaluation of Transformer-Based Vulnerability Detection on Open and Industry Data.
Proceedings of the Product-Focused Software Process Improvement. Industry, Doctoral-Symposium, Tutorial, and Workshop Papers, 2025

Optimizing Deep Learning Models to Address Class Imbalance in Code Comment Classification.
Proceedings of the IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2025

Leveraging Multi-Task Learning to Improve the Detection of SATD and Vulnerability.
Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

2024
Generative AI for Test Driven Development: Preliminary Results.
Proceedings of the Agile Processes in Software Engineering and Extreme Programming - Workshops, 2024

Where Do Developers Admit their Security-Related Concerns?
Proceedings of the Agile Processes in Software Engineering and Extreme Programming - Workshops, 2024

MADE-WIC: Multiple Annotated Datasets for Exploring Weaknesses In Code.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

2023
Utilization of Machine Learning for the Detection of Self-admitted Vulnerabilities.
Proceedings of the Product-Focused Software Process Improvement, 2023

2022
WeakSATD: Detecting Weak Self-admitted Technical Debt.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022


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