| 2025 | ETFA | Leveraging LLMs Towards Assistant-based Support for Industrial Threat Models. | Enrico Fregnan, Christian Gttel, Balz Maag, Abdallah Dawoud, Georgios Nakas |
| 2022 | ESEM | An Exploratory Study on Regression Vulnerabilities. | Larissa Braz, Enrico Fregnan, Vivek Arora, Alberto Bacchelli |
| 2021 | ICSE | Why Don't Developers Detect Improper Input Validation? '; DROP TABLE Papers; -. | Larissa Braz, Enrico Fregnan, Gl alikli, Alberto Bacchelli |
| 2021 | ICSE | Data and Materials for: Why Don't Developers Detect Improper Input Validation?'; DROP TABLE Papers; -. | Larissa Braz, Enrico Fregnan, Gl alikli, Alberto Bacchelli |
| 2021 | VISSOFT | ChangeViz: Enhancing the GitHub Pull Request Interface with Method Call Information. | Lorenzo Gasparini, Enrico Fregnan, Larissa Braz, Tobias Baum, Alberto Bacchelli |
| 2020 | CHI | UI Dark Patterns and Where to Find Them: A Study on Mobile Applications and User Perception. | Linda Di Geronimo, Larissa Braz, Enrico Fregnan, Fabio Palomba, Alberto Bacchelli |
| 2020 | MSR | Do Explicit Review Strategies Improve Code Review Performance? | Pavlna Wurzel Gonalves, Enrico Fregnan, Tobias Baum, Kurt Schneider, Alberto Bacchelli |