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Dario Di Nucci
Dario Di Nucci
Assistant Professor (RTD-B), University of Salerno, Italy
Verified email at unisa.it - Homepage
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Cited by
Year
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
1792018
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
1192017
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
982017
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
922017
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
882018
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
722019
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
692017
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
2016 IEEE/ACM 9th International Workshop on Search-Based Software Testing …, 2016
682016
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
632015
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
552018
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
432018
Do developers update third-party libraries in mobile apps?
P Salza, F Palomba, D Di Nucci, C D'Uva, A De Lucia, F Ferrucci
Proceedings of the 26th Conference on Program Comprehension, 255-265, 2018
412018
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
402017
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
392019
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
372020
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
342020
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
272019
Self-reported activities of android developers
L Pascarella, FX Geiger, F Palomba, D Di Nucci, I Malavolta, A Bacchelli
2018 IEEE/ACM 5th International Conference on Mobile Software Engineering …, 2018
262018
Search-based testing of procedural programs: Iterative single-target or multi-target approach?
S Scalabrino, G Grano, DD Nucci, R Oliveto, AD Lucia
International symposium on search based software engineering, 64-79, 2016
262016
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
242019
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