Manuel De Stefano

19 papers A 1B 1C 1Journal 9Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Socio-Technical Well-Being of Quantum Software Communities: An Overview on Community Smells. CoRR Stefano Lambiase, Manuel De Stefano, Fabio Palomba, Filomena Ferrucci, Andrea De Lucia
2025	—	`conf`	Socio-Technical Well-Being of Quantum Software Communities: An Overview on Community Smells. SEAA (3) Stefano Lambiase, Manuel De Stefano, Fabio Palomba, Filomena Ferrucci, Andrea De Lucia
2024	J	`jnl`	An empirical study into the effects of transpilation on quantum circuit smells. Empir. Softw. Eng. Manuel De Stefano, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
2024	—	`ch.`	Quantum Software Engineering Issues and Challenges: Insights from Practitioners. Quantum Software Manuel De Stefano, Fabiano Pecorelli, Fabio Palomba, Davide Taibi, Dario Di Nucci, Andrea De Lucia
2024	J	`jnl`	Reformulating Regression Test Suite Optimization using Quantum Annealing - an Empirical Study. CoRR Antonio Trovato, Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Andrea De Lucia
2024	J	`jnl`	Reformulating regression test suite optimization using quantum annealing - an empirical study. Int. J. Softw. Tools Technol. Transf. Antonio Trovato, Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Andrea De Lucia
2024	J	`jnl`	The quantum frontier of software engineering: A systematic mapping study. Inf. Softw. Technol. Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
2023	J	`jnl`	The Quantum Frontier of Software Engineering: A Systematic Mapping Study. CoRR Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
2022	C	`conf`	A preliminary evaluation on the relationship among architectural and test smells. SCAM Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Andrea De Lucia
2022	—	`conf`	An Empirical Study on the Current Adoption of Quantum Programming. ICSE-Companion Manuel De Stefano
2022	J	`jnl`	Impacts of software community patterns on process and product: An empirical study. Sci. Comput. Program. Manuel De Stefano, Emanuele Iannone, Fabiano Pecorelli, Damian Andrew Tamburri
2022	—	`conf`	Predicting The Energy Consumption Level of Java Classes in Android Apps: An Exploratory Analysis. MOBILESoft Emanuele Iannone, Manuel De Stefano, Fabiano Pecorelli, Andrea De Lucia
2022	J	`jnl`	Software Engineering for Quantum Programming: How Far Are We? CoRR Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
2022	J	`jnl`	Software engineering for quantum programming: How far are we? J. Syst. Softw. Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
2022	—	`conf`	Towards Quantum-algorithms-as-a-service. QP4SE@ESEC/SIGSOFT FSE Manuel De Stefano, Dario Di Nucci, Fabio Palomba, Davide Taibi, Andrea De Lucia
2021	—	`conf`	Comparing within- and cross-project machine learning algorithms for code smell detection. MaLTeSQuE@ESEC/SIGSOFT FSE Manuel De Stefano, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia
2020	A	`conf`	Refactoring Recommendations Based on the Optimization of Socio-Technical Congruence. ICSME Manuel De Stefano, Fabiano Pecorelli, Damian Andrew Tamburri, Fabio Palomba, Andrea De Lucia
2020	—	`conf`	Splicing Community Patterns and Smells: A Preliminary Study. ICSE (Workshops) Manuel De Stefano, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Andrea De Lucia
2020	B	`conf`	cASpER: A Plug-in for Automated Code Smell Detection and Refactoring. AVI Manuel De Stefano, Michele Simone Gambardella, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia