| 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 | 55 | 2019 |
| Developer-driven code smell prioritization F Pecorelli, F Palomba, F Khomh, A De Lucia Proceedings of the 17th International Conference on Mining Software …, 2020 | 34 | 2020 |
| 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 | 31 | 2020 |
| 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 | 19 | 2019 |
| Testing of mobile applications in the wild: A large-scale empirical study on android apps F Pecorelli, G Catolino, F Ferrucci, A De Lucia, F Palomba Proceedings of the 28th international conference on program comprehension …, 2020 | 14 | 2020 |
| Just-in-time test smell detection and refactoring: The darts project S Lambiase, A Cupito, F Pecorelli, A De Lucia, F Palomba Proceedings of the 28th International Conference on Program Comprehension …, 2020 | 11 | 2020 |
| 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 | 10 | 2020 |
| Refactoring android-specific energy smells: A plugin for android studio E Iannone, F Pecorelli, D Di Nucci, F Palomba, A De Lucia Proceedings of the 28th international conference on program comprehension …, 2020 | 8 | 2020 |
| The relation of test-related factors to software quality: a case study on apache systems F Pecorelli, F Palomba, A De Lucia Empirical Software Engineering 26 (2), 1-42, 2021 | 7 | 2021 |
| A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction S Lujan, F Pecorelli, F Palomba, A De Lucia, V Lenarduzzi Proceedings of the 4th ACM SIGSOFT international workshop on machine …, 2020 | 5 | 2020 |
| 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 | 5 | 2020 |
| VITRuM: A plug-in for the visualization of test-related metrics F Pecorelli, G Di Lillo, F Palomba, A De Lucia Proceedings of the International Conference on Advanced Visual Interfaces, 1-3, 2020 | 5 | 2020 |
| Adaptive selection of classifiers for bug prediction: A large-scale empirical analysis of its performances and a benchmark study F Pecorelli, D Di Nucci Science of Computer Programming 205, 102611, 2021 | 4 | 2021 |
| PANDORA: Continuous mining software repository and dataset generation H Nguyen, F Lomio, F Pecorelli, V Lenarduzzi EEE International Conference on Software Analysis, Evolution and …, 2022 | 3 | 2022 |
| 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 | 3 | 2021 |
| 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 | 2 | 2022 |
| 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 | 2 | 2020 |
| Test-related factors and post-release defects: an empirical study F Pecorelli Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019 | 2 | 2019 |
| On the adequacy of static analysis warnings with respect to code smell prediction F Pecorelli, S Lujan, V Lenarduzzi, F Palomba, A De Lucia Empirical Software Engineering 27 (3), 1-44, 2022 | 1 | 2022 |
| 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 | | 2022 |
Andrea De LuciaUniversity of Salerno, ItalyVerified email at unisa.it
