Multiple student projects and thesis works have been successfully transformed into academic papers, a source of great pride. The following is a list of recent publications resulting from collaborative efforts with students.

List of the publications

1. Moritz Mock, Jorge Melegati, Max Kretschmann, Nicolás E. Díaz Ferreyra, Barbara Russo, MADE-WIC: Multiple Annotated Datasets for Exploring Weaknesses in Code (ASE), 2024

2. Nicolás E. Díaz Ferreyra, Mojtaba Shahin, Mansooreh Zahedi, Sodiq Quadri, Riccardo Riccardo, What Can Self-Admitted Technical Debt Tell Us About Security? A Mixed-Methods Study (MSR), 2024

3. Quang-Cuong Bui, Malte Laukötter and Riccardo Scandariato, DockerCleaner: Automatic Repair of Security Smells in Dockerfiles, International Conference on Software Maintenance and Evolution (ICSME), 2023

4. Simon Schneider, Tufan Özen, Michael Chen, Riccardo Scandariato, microSecEnD: A Dataset of Security-Enriched Dataflow Diagrams for Microservice Applications, International Conference on Mining Software Repositories (MSR), 2023

5. Catherine Tony, Markus Mutas, Nicolas E. Diaz Ferreyra, Riccardo Scandariato, LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations, International Conference on Mining Software Repositories (MSR), 2023

6. Kamakshi Srikumar, Komal Kashish, Kolja Eggers, Nicolas E. Diaz Ferreyra, Julian Koch, Thorsten Schüppstuhl, Riccardo Scandariato, STRIPED: A Threat Analysis Method for IoT Systems, International Workshop on Security and Forensics of IoT (IoT-SECFOR), 2022

7. Priyanka Billawa, Anusha Bambhore Tukaram, Nicolas Diaz Ferreyra, Jan-Philipp Steghöfer, Riccardo Scandariato, Georg Simhandl, SoK: Security of Microservice Applications: A Practitioners' Perspective on Challenges and Best Practices, International Conference on Availability, Reliability and Security (ARES), 2022

8. Catherine Tony, Mohana Balasubramanian, Nicolas E. Diaz Ferreyra, Riccardo Scandariato, Conversational DevBots for Secure Programming: An Empirical Study on SKF Chatbot, International Conference on Evaluation and Assessment in Software Engineering (EASE), 2022