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Dario Di Nucci
Dario Di Nucci
Assistant Professor (RTD-B), University of Salerno, Italy
Preverjeni e-poštni naslov na unisa.it - Domača stran
Naslov
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Leto
Detecting code smells using machine learning techniques: Are we there yet?
D Di Nucci, F Palomba, DA Tamburri, A Serebrenik, A De Lucia
2018 ieee 25th international conference on software analysis, evolution and …, 2018
2952018
A developer centered bug prediction model
D Di Nucci, F Palomba, G De Rosa, G Bavota, R Oliveto, A De Lucia
IEEE Transactions on Software Engineering 44 (1), 5-24, 2017
1562017
Comparing heuristic and machine learning approaches for metric-based code smell detection
F Pecorelli, F Palomba, D Di Nucci, A De Lucia
2019 IEEE/ACM 27th international conference on program comprehension (ICPC …, 2019
1352019
On the impact of code smells on the energy consumption of mobile applications
F Palomba, D Di Nucci, A Panichella, A Zaidman, A De Lucia
Information and Software Technology, 2018
1312018
Software-based energy profiling of android apps: Simple, efficient and reliable?
D Di Nucci, F Palomba, A Prota, A Panichella, A Zaidman, A De Lucia
2017 IEEE 24th international conference on software analysis, evolution and …, 2017
1232017
Lightweight detection of android-specific code smells: The adoctor project
F Palomba, D Di Nucci, A Panichella, A Zaidman, A De Lucia
2017 IEEE 24th international conference on software analysis, evolution and …, 2017
1222017
On the diffusion of test smells in automatically generated test code: An empirical study
F Palomba, D Di Nucci, A Panichella, R Oliveto, A De Lucia
Proceedings of the 9th international workshop on search-based software …, 2016
1152016
Dynamic selection of classifiers in bug prediction: An adaptive method
D Di Nucci, F Palomba, R Oliveto, A De Lucia
IEEE Transactions on Emerging Topics in Computational Intelligence 1 (3 …, 2017
872017
A large empirical assessment of the role of data balancing in machine-learning-based code smell detection
F Pecorelli, D Di Nucci, C De Roover, A De Lucia
Journal of Systems and Software 169, 110693, 2020
852020
Landfill: An open dataset of code smells with public evaluation
F Palomba, D Di Nucci, M Tufano, G Bavota, R Oliveto, D Poshyvanyk, ...
2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, 482-485, 2015
832015
Within-project defect prediction of infrastructure-as-code using product and process metrics
S Dalla Palma, D Di Nucci, F Palomba, DA Tamburri
IEEE Transactions on Software Engineering 48 (6), 2086-2104, 2021
752021
Toward a catalog of software quality metrics for infrastructure code
S Dalla Palma, D Di Nucci, F Palomba, DA Tamburri
Journal of Systems and Software 170, 110726, 2020
742020
A graph-based dataset of commit history of real-world android apps
FX Geiger, I Malavolta, L Pascarella, F Palomba, D Di Nucci, A Bacchelli
Proceedings of the 15th international conference on mining software …, 2018
732018
Cross-project just-in-time bug prediction for mobile apps: An empirical assessment
G Catolino, D Di Nucci, F Ferrucci
2019 IEEE/ACM 6th International Conference on Mobile Software Engineering …, 2019
712019
A test case prioritization genetic algorithm guided by the hypervolume indicator
D Di Nucci, A Panichella, A Zaidman, A De Lucia
IEEE Transactions on Software Engineering 46 (6), 674-696, 2018
692018
The do’s and don’ts of infrastructure code: A systematic gray literature review
I Kumara, M Garriga, AU Romeu, D Di Nucci, F Palomba, DA Tamburri, ...
Information and Software Technology 137, 106593, 2021
632021
On the role of data balancing for machine learning-based code smell detection
F Pecorelli, D Di Nucci, C De Roover, A De Lucia
Proceedings of the 3rd ACM SIGSOFT international workshop on machine …, 2019
632019
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
Petra: a software-based tool for estimating the energy profile of android applications
D Di Nucci, F Palomba, A Prota, A Panichella, A Zaidman, A De Lucia
2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017
602017
Scented since the beginning: On the diffuseness of test smells in automatically generated test code
G Grano, F Palomba, D Di Nucci, A De Lucia, HC Gall
Journal of Systems and Software 156, 312-327, 2019
552019
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Članki 1–20