Professional Services

Editorial Board Member of International Journals

ACM Transactions on Software Engineering and Methodology: 2024 - Now
Elsevier Science of Computer Programming: 2021 - Now
Elsevier Journal of Systems and Software: 2021 - Now
IEEE Software - Initiatives Team: 2020 - Now
Guest Editor for Elsevier Science of Computer Programming for the special issue on "Software Health of Software Ecosystems": 2020 - 2021

Program Committee Member of International Conferences and Workshops (Research Track)

ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE): 2025, 2024
IEEE/ACM International Conference on Software Engineering - Software Engineering in Practice Track (ICSE-SEIP): 2025, 2023
IEEE/ACM International Conference on Mining Software Repositories (MSR): 2025, 2024, 2023, 2022
IEEE International Conference on Program Comprehension (ICPC): 2025, 2024, 2023, 2022, 2020
IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER): 2025, 2024, 2023, 2022, 2021, 2020
IEEE International Conference on Software Maintenance and Evolution (ICSME): 2025, 2024, 2023
International Conference on Product-Focused Software Process Improvement (PROFES): 2023
IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM): 2023, 2022, 2021
European Conference on Service-Oriented and Cloud Computing (ESOCC): 2023
IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft): 2023, 2022, 2021
International Workshop on ENgineering Intelligent Applications' Code: 2023
International Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE): 2022, 2021, 2020, 2019, 2018
International Workshop on Quantum Programming for Software Engineering (QP4SE): 2022
International Workshop on Software Health (SoHeal): 2021
International Workshop on Cloud-Native Applications Design and Experience (CNAX): 2019, 2018

Frequent Reviewer for International Journals

Empirical Software Engineering - Springer
IEEE Software - IEEE
Information and Software Technology - Elsevier
Journal of Software: Evolution and Process - Wiley
Journal of Systems and Software - Elsevier
Science of Computer Programming - Elsevier
Transactions on Software Engineering - IEEE
Transactions on Software Engineering and Methodology - ACM

Invited Talks

ML-based Detection of Security Fixes in Open-source Repositories. Final Meeting of the Horizon Europe MSCA project ProSVED, University of Trento, June 14th, 2024
Advancements in Quantum Software Engineering: Challenges and Empirical Insights. PhD Course in Quantum Software Engineering, Politecnico di Milano, March 26th, 2024
The Quantum Frontier of Software Engineering and its Adoption. SWForum.eu: Workshop on Future Challenges in SE, Politecnico di Milano, June 27th, 2023
The Do's and Don'ts of Infrastructure Code: a Systematic Grey Literature Review. Dagstuhl Seminar 23082, February 21st, 2023
Machine Learning for Software Engineering: the New Gold Rush. Smart Services and Data-driven Societies Summit, University of Molise, July 25th, 2022
Code Smell Detection: the Ecstasy of Machine Learning. Utrecht University, October 6th, 2021
Machine Learning for Software Engineering: the Good, the Bad, and the Ugly. University of Milano Bicocca, Virtual, July 7th, 2021
Improving Energy Efficiency of Mobile Applications in the Internet of Things. International Summer School on Internet of Things, University of Salerno, Virtual, April 9th, 2021
Machine Learning for Software Engineering: the Good, the Bad, and the Ugly. Technical University Eindhoven, Virtual, December 10th, 2020
Improving Energy Efficiency of Mobile Applications in the Internet of Things. International Summer School on Internet of Things, University of Salerno, Virtual, June 3rd, 2020
Defect Prediction: using Machine Learning for focusing the Testing Effort. University of Salerno, Virtual, March 25th, 2020
Mining Source Code^3: Mining Idioms, Usages and Edits. Free and Open Source Software Developers' European Meeting, February 3rd, 2019
Defect Prediction: using Machine Learning for focusing the Testing Effort. Jheronimus Academy of Data Science, March 9th, 2018
Defect Prediction: using Machine Learning for focusing the Testing Effort. Jheronimus Academy of Data Science, December 5th, 2017
Diagnose and Detect Energy Flaws of Android Apps. Vrije Universiteit Brussel, March 23rd, 2017