Manuel De Stefano

According to our database, Manuel De Stefano authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

The Quantum Frontier of Software Engineering: A Systematic Mapping Study.

Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia

CoRR, 2023

2022

Impacts of software community patterns on process and product: An empirical study.

Manuel De Stefano, Emanuele Iannone, Fabiano Pecorelli, Damian Andrew Tamburri

Sci. Comput. Program., 2022

Software engineering for quantum programming: How far are we?

Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia

J. Syst. Softw., 2022

A preliminary evaluation on the relationship among architectural and test smells.

Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Andrea De Lucia

Proceedings of the 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, 2022

Towards Quantum-algorithms-as-a-service.

Manuel De Stefano, Dario Di Nucci, Fabio Palomba, Davide Taibi, Andrea De Lucia

Proceedings of the 1st International Workshop on Quantum Programming for Software Engineering, 2022

Predicting The Energy Consumption Level of Java Classes in Android Apps: An Exploratory Analysis.

Emanuele Iannone, Manuel De Stefano, Fabiano Pecorelli, Andrea De Lucia

Proceedings of the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2022

An Empirical Study on the Current Adoption of Quantum Programming.

Manuel De Stefano

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

2021

Comparing within- and cross-project machine learning algorithms for code smell detection.

Manuel De Stefano, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia

Proceedings of the MaLTeSQuE@ESEC/SIGSOFT FSE 2021: Proceedings of the 5th International Workshop on Machine Learning Techniques for Software Quality Evolution, 2021

2020

Refactoring Recommendations Based on the Optimization of Socio-Technical Congruence.

Manuel De Stefano, Fabiano Pecorelli, Damian Andrew Tamburri, Fabio Palomba, Andrea De Lucia

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Splicing Community Patterns and Smells: A Preliminary Study.

Manuel De Stefano, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Andrea De Lucia

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

cASpER: A Plug-in for Automated Code Smell Detection and Refactoring.

Manuel De Stefano, Michele Simone Gambardella, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia

Proceedings of the AVI '20: International Conference on Advanced Visual Interfaces, Island of Ischia, Italy, September 28, 2020