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Manuel De Stefano
Observed names:
De Stefano, Manuel,
Stefano, Manuel De
Institution:
University of Salerno
Observed institution:
University of Salerno
ORCID:
0000-0001-6038-4171
Observed ORCID:
0000-0001-6038-4171
OpenAlex ID:
A5027390333
Software engineering for quantum programming: How far are we?
2022
·
Manuel De Stefano
, Fabiano Pecorelli
, et al.
·
Journal of Systems and Software
·
66
Comparing within- and cross-project machine learning algorithms for code smell detection
2021
·
Manuel De Stefano
, Fabiano Pecorelli
, et al.
·
27
Splicing Community Patterns and Smells
2020
·
Manuel De Stefano
, Fabiano Pecorelli
, et al.
·
19
The quantum frontier of software engineering: A systematic mapping study
2024
·
Manuel De Stefano
, Fabiano Pecorelli
, et al.
·
Information and Software Technology
·
16
Impacts of software community patterns on process and product: An empirical study
2021
·
Manuel De Stefano
, Emanuele Iannone
, et al.
·
Science of Computer Programming
·
16
cASpER
2020
·
Manuel De Stefano
, Michele Simone Gambardella
, et al.
·
International Conference on Advanced Visual Interfaces (AVI)
·
13
An empirical study into the effects of transpilation on quantum circuit smells
2024
·
Manuel De Stefano
, Dario Di Nucci
, et al.
·
Empirical Software Engineering
·
11
PDF
Quantum Software Engineering Issues and Challenges: Insights from Practitioners
2024
·
Manuel De Stefano
, Fabiano Pecorelli
, et al.
·
Springer eBooks
·
7
PDF
A preliminary evaluation on the relationship among architectural and test smells
2022
·
Manuel De Stefano
, Fabiano Pecorelli
, et al.
·
IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM)
·
7
The Quantum Frontier of Software Engineering: A Systematic Mapping Study
2023
·
De Stefano, Manuel
, Pecorelli, Fabiano
, et al.
·
arXiv (Cornell University)
·
4
PDF
Towards Quantum-algorithms-as-a-service
2022
·
Manuel De Stefano
, Dario Di Nucci
, et al.
·
4
PDF
Predicting the energy consumption level of Java classes in Android apps
2022
·
Emanuele Iannone
, Manuel De Stefano
, et al.
·
IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft)
·
4
PDF
Software Engineering for Quantum Programming: How Far Are We?
2022
·
De Stefano, Manuel
, Pecorelli, Fabiano
, et al.
·
arXiv (Cornell University)
·
4
PDF
Reformulating regression test suite optimization using quantum annealing - an empirical study
2024
·
Antonio Trovato
, Manuel De Stefano
, et al.
·
International Journal on Software Tools for Technology Transfer
·
3
PDF
Splicing Community Patterns and Smells: A Preliminary Study
2020
·
Stefano, Manuel De
·
Figshare
·
3
Refactoring Recommendations Based on the Optimization of Socio-Technical Congruence
2020
·
Manuel De Stefano
, Fabiano Pecorelli
, et al.
·
IEEE International Conference on Software Maintenance (ICSM)
·
2
PDF
An Empirical Study on the Current Adoption of Quantum Programming
2022
·
Manuel De Stefano
·
ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
·
1
Socio-Technical Well-Being of Quantum Software Communities: An Overview on Community Smells
2025
·
Stefano Lambiase
, Manuel De Stefano
, et al.
·
Lecture notes in computer science
PDF
An empirical study on the current adoption of quantum programming
2022
·
Manuel De Stefano
·
ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
PDF
Impacts of Software Community Patterns on Process and Product:An Empirical Study
2020
·
De Stefano, Manuel
, Pecorelli, Fabiano
, et al.
·
Figshare
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Works count:
29
Citation count:
208
H-index:
7
I10-index:
7
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