| 2025 | EASE | Not One to Rule Them All: Mining Meaningful Code Review Orders From GitHub. | Abir Bouraffa, Carolin E. Brandt, Andy Zaidman, Walid Maalej |
| 2025 | ICST | Towards Refined Code Coverage: A New Predictive Problem in Software Testing. | Carolin E. Brandt, Aurora Ramrez |
| 2024 | AST | Using GitHub Copilot for Test Generation in Python: An Empirical Study. | Khalid El Haji, Carolin E. Brandt, Andy Zaidman |
| 2024 | ICSE | Mind the Gap: What Working With Developers on Fuzz Tests Taught Us About Coverage Gaps. | Carolin E. Brandt, Marco Castelluccio, Christian Holler, Jason Kratzer, Andy Zaidman, Alberto Bacchelli |
| 2024 | SCAM | Software Quality Assurance Analytics: Enabling Software Engineers to Reflect on QA Practices. | Ali Khatami, Carolin E. Brandt, Andy Zaidman |
| 2023 | SCAM | When to Let the Developer Guide: Trade-offs Between Open and Guided Test Amplification. | Carolin E. Brandt, Danyao Wang, Andy Zaidman |
| 2022 | VISSOFT | How Does This New Developer Test Fit In? A Visualization to Understand Amplified Test Cases. | Carolin E. Brandt, Andy Zaidman |
| 2021 | SCAM | Naming Amplified Tests Based on Improved Coverage. | Nienke Nijkamp, Carolin E. Brandt, Andy Zaidman |
| 2021 | SCAM | Removing Redundant Statements in Amplified Test Cases. | Wessel Oosterbroek, Carolin E. Brandt, Andy Zaidman |
| 2020 | MSR | LogChunks: A Data Set for Build Log Analysis. | Carolin E. Brandt, Annibale Panichella, Andy Zaidman, Moritz Beller |