Pecorelli, Fabiano
Pecorelli, Fabiano
Dipartimento di Informatica/DI
A large empirical assessment of the role of data balancing in machine-learning-based code smell detection
2020-01-01 Pecorelli, F.; Di Nucci, D.; De Roover, C.; De Lucia, A.
A Multivocal Literature Review of MLOps Tools and Features
2022-01-01 Recupito, Gilberto; Pecorelli, Fabiano; Catolino, Gemma; Moreschini, Sergio; Nucci, Dario Di; Palomba, Fabio; Tamburri, Damian A.
A preliminary evaluation on the relationship among architectural and test smells
2022-01-01 De Stefano, M.; Pecorelli, F.; Di Nucci, D.; De Lucia, A.
A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction
2020-01-01 Lujan, S.; Pecorelli, F.; Palomba, F.; De Lucia, A.; Lenarduzzi, V.
Adaptive selection of classifiers for bug prediction: A large-scale empirical analysis of its performances and a benchmark study
2021-01-01 Pecorelli, F.; Di Nucci, D.
CASpER: A Plug-in for Automated Code Smell Detection and Refactoring
2020-01-01 De Stefano, M.; Gambardella, M. S.; Pecorelli, F.; Palomba, F.; De Lucia, A.
Comparing heuristic and machine learning approaches for metric-based code smell detection
2019-01-01 Pecorelli, Fabiano; Palomba, F.; Di Nucci, D.; De Lucia, A.
Comparing within-and cross-project machine learning algorithms for code smell detection
2021-01-01 De Stefano, M.; Pecorelli, F.; Palomba, F.; De Lucia, A.
Developer-Driven Code Smell Prioritization
2020-01-01 Pecorelli, F.; Palomba, F.; Khomh, F.; De Lucia, A.
Just-in-time test smell detection and refactoring: The DARTS project
2020-01-01 Lambiase, S.; Cupito, A.; Pecorelli, F.; De Lucia, A.; Palomba, F.
On the adequacy of static analysis warnings with respect to code smell prediction
2022-01-01 Pecorelli, F.; Lujan, S.; Lenarduzzi, V.; Palomba, F.; De Lucia, A.
On the role of data balancing for machine learning-based code smell detection
2019-01-01 Pecorelli, F.; Di Nucci, D.; De Roover, C.; De Lucia, A.
Predicting The Energy Consumption Level of Java Classes in Android Apps: An Exploratory Analysis
2022-01-01 Iannone, E.; De Stefano, M.; Pecorelli, F.; De Lucia, A.
Refactoring android-specific energy smells: A plugin for android studio
2020-01-01 Iannone, E.; Pecorelli, F.; Di Nucci, D.; Palomba, F.; De Lucia, A.
Software engineering for quantum programming: How far are we?
2022-01-01 De Stefano, M.; Pecorelli, F.; Di Nucci, D.; Palomba, F.; De Lucia, A.
Software testing and Android applications: a large-scale empirical study
2022-01-01 Pecorelli, F.; Catolino, G.; Ferrucci, F.; De Lucia, A.; Palomba, F.
Splicing Community Patterns and Smells: A Preliminary Study
2020-01-01 De Stefano, M.; Pecorelli, F.; Tamburri, D. A.; Palomba, F.; De Lucia, A.
Testing of mobile applications in the wild: A large-scale empirical study on android apps
2020-01-01 Pecorelli, F.; Catolino, G.; Ferrucci, F.; De Lucia, A.; Palomba, F.
Testing of mobile applications in the wild: A large-scale empirical study on android apps
2020-01-01 Pecorelli, F.; Catolino, G.; Ferrucci, F.; De Lucia, A.; Palomba, F.
The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems
2021-01-01 Pecorelli, Fabiano; Palomba, Fabio; DE LUCIA, Andrea