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Manuel De Stefano
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Software engineering for quantum programming: How far are we?
M De Stefano, F Pecorelli, D Di Nucci, F Palomba, A De Lucia
Journal of Systems and Software 190, 111326, 2022
602022
Splicing community patterns and smells: A preliminary study
M De Stefano, F Pecorelli, DA Tamburri, F Palomba, A De Lucia
Proceedings of the ieee/acm 42nd international conference on software …, 2020
242020
Comparing within-and cross-project machine learning algorithms for code smell detection
M De Stefano, F Pecorelli, F Palomba, A De Lucia
Proceedings of the 5th international workshop on machine learning techniques …, 2021
232021
Impacts of software community patterns on process and product: An empirical study
M De Stefano, E Iannone, F Pecorelli, DA Tamburri
Science of Computer Programming 214, 102731, 2022
152022
cASpER: A plug-in for automated code smell detection and refactoring
M De Stefano, MS Gambardella, F Pecorelli, F Palomba, A De Lucia
Proceedings of the International Conference on Advanced Visual Interfaces, 1-3, 2020
142020
Towards quantum-algorithms-as-a-service
M De Stefano, D Di Nucci, F Palomba, D Taibi, A De Lucia
Proceedings of the 1st International Workshop on Quantum Programming for …, 2022
62022
The quantum frontier of software engineering: A systematic mapping study
M De Stefano, F Pecorelli, D Di Nucci, F Palomba, A De Lucia
Information and Software Technology, 107525, 2024
52024
Predicting the energy consumption level of Java classes in Android apps: An exploratory analysis
E Iannone, M De Stefano, F Pecorelli, A De Lucia
Proceedings of the 9th IEEE/ACM International Conference on Mobile Software …, 2022
42022
Refactoring recommendations based on the optimization of socio-technical congruence
M De Stefano, F Pecorelli, DA Tamburri, F Palomba, A De Lucia
2020 IEEE International Conference on Software Maintenance and Evolution …, 2020
42020
A preliminary evaluation on the relationship among architectural and test smells
M De Stefano, F Pecorelli, D Di Nucci, A De Lucia
2022 IEEE 22nd International Working Conference on Source Code Analysis and …, 2022
12022
An empirical study on the current adoption of quantum programming
M De Stefano
Proceedings of the ACM/IEEE 44th International Conference on Software …, 2022
12022
Reformulating Regression Test Suite Optimization using Quantum Annealing--an Empirical Study
A Trovato, M De Stefano, F Pecorelli, D Di Nucci, A De Lucia
arXiv preprint arXiv:2411.15963, 2024
2024
Quantum Software Engineering Issues and Challenges: Insights from Practitioners
M De Stefano, F Pecorelli, F Palomba, D Taibi, D Di Nucci, A De Lucia
Quantum Software: Aspects of Theory and System Design, 337-355, 2024
2024
An empirical study into the effects of transpilation on quantum circuit smells
MD Stefano, DD Nucci, F Palomba, AD Lucia
Empirical Software Engineering 29 (3), 61, 2024
2024
Introduction and definitions
A Rio, FB e Abreu, M De Stefano, A De Lucia
Journal of Systems and Software 200, 111644, 2023
2023
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Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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