| 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 | 305 | 2018 |
| 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 | 162 | 2017 |
| 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 | 138 | 2019 |
| 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 | 136 | 2018 |
| 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 | 125 | 2017 |
| 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 | 124 | 2017 |
| 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 | 118 | 2016 |
| 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 | 89 | 2020 |
| 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 | 88 | 2017 |
| 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 | 84 | 2015 |
| 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 | 82 | 2021 |
| 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 | 78 | 2020 |
| 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 | 73 | 2018 |
| 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 | 73 | 2018 |
| 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 | 72 | 2019 |
| 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 | 66 | 2022 |
| 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 | 66 | 2021 |
| 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 | 65 | 2019 |
| 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 | 60 | 2017 |
| 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 | 58 | 2019 |
Fabio PalombaUniversity of Salerno, Italyunisa.it의 이메일 확인됨