Fabiano Pecorelli

According to our database, Fabiano Pecorelli authored at least 39 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine learning-based test smell detection.

Valeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli, Dario Di Nucci, Filomena Ferrucci, Fabio Palomba

Empir. Softw. Eng., April, 2024

An Empirical Investigation Into the Influence of Software Communities' Cultural and Geographical Dispersion on Productivity.

Stefano Lambiase, Gemma Catolino, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Willem-Jan van den Heuvel, Filomena Ferrucci

J. Syst. Softw., February, 2024

2023

Introduction to the Software Quality for Artificial Intelligence (SQA4AI) special issue.

Michael Felderer, Valentina Lenarduzzi, Fabio Palomba, Fabiano Pecorelli

Sci. Comput. Program., July, 2023

A critical comparison on six static analysis tools: Detection, agreement, and precision.

Valentina Lenarduzzi, Fabiano Pecorelli, Nyyti Saarimäki, Savanna Lujan, Fabio Palomba

J. Syst. Softw., April, 2023

The Quantum Frontier of Software Engineering: A Systematic Mapping Study.

Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia

CoRR, 2023

AI Techniques in the Microservices Life-Cycle: A Survey.

Sergio Moreschini, Shahrzad Pour, Ivan Lanese, Daniel Balouek-Thomert, Justus Bogner, Xiaozhou Li, Fabiano Pecorelli, Jacopo Soldani, Eddy Truyen, Davide Taibi

CoRR, 2023

Technical Debt Diffuseness in the Apache Ecosystem: A Differentiated Replication.

Dario Amoroso d'Aragona, Fabiano Pecorelli, Maria Teresa Baldassarre, Davide Taibi, Valentina Lenarduzzi

Proceedings of the IEEE International Conference on Software Analysis, 2023

Resolving Security Issues via Quality-Oriented Refactoring: A User Study.

Domenico Gigante, Fabiano Pecorelli, Vita Santa Barletta, Andrea Janes, Valentina Lenarduzzi, Davide Taibi, Maria Teresa Baldassarre

Proceedings of the 2023 ACM/IEEE International Conference on Technical Debt (TechDebt), 2023

Architecting MLOps in the Cloud: From Theory to Practice.

Indika Kumara, Fabiano Pecorelli, Gemma Catolino, Rick Kazman, Damian Andrew Tamburri, Willem-Jan van den Heuvel

Proceedings of the 20th International Conference on Software Architecture, 2023

2022

OSSARA: Abandonment Risk Assessment for Embedded Open Source Components.

Xiaozhou Li, Sergio Moreschini, Fabiano Pecorelli, Davide Taibi

IEEE Softw., 2022

Impacts of software community patterns on process and product: An empirical study.

Manuel De Stefano, Emanuele Iannone, Fabiano Pecorelli, Damian Andrew Tamburri

Sci. Comput. Program., 2022

Software engineering for quantum programming: How far are we?

Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia

J. Syst. Softw., 2022

On the adequacy of static analysis warnings with respect to code smell prediction.

Fabiano Pecorelli, Savanna Lujan, Valentina Lenarduzzi, Fabio Palomba, Andrea De Lucia

Empir. Softw. Eng., 2022

Software testing and Android applications: a large-scale empirical study.

Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba

Empir. Softw. Eng., 2022

Toward Granular Automatic Unit Test Case Generation.

Fabiano Pecorelli, Giovanni Grano, Fabio Palomba, Harald C. Gall, Andrea De Lucia

CoRR, 2022

Cloud Continuum: The Definition.

Sergio Moreschini, Fabiano Pecorelli, Xiaozhou Li, Sonia Naz, David Hästbacka, Davide Taibi

IEEE Access, 2022

PANDORA: Continuous Mining Software Repository and Dataset Generation.

Hung Nguyen, Francesco Lomio, Fabiano Pecorelli, Valentina Lenarduzzi

Proceedings of the IEEE International Conference on Software Analysis, 2022

A preliminary evaluation on the relationship among architectural and test smells.

Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Andrea De Lucia

Proceedings of the 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, 2022

Predicting The Energy Consumption Level of Java Classes in Android Apps: An Exploratory Analysis.

Emanuele Iannone, Manuel De Stefano, Fabiano Pecorelli, Andrea De Lucia

Proceedings of the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2022

CATTO: Just-in-time Test Case Selection and Execution.

Dario Amoroso d'Aragona, Fabiano Pecorelli, Simone Romano, Giuseppe Scanniello, Maria Teresa Baldassarre, Andrea Janes, Valentina Lenarduzzi

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

A Multivocal Literature Review of MLOps Tools and Features.

Gilberto Recupito, Fabiano Pecorelli, Gemma Catolino, Sergio Moreschini, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

"There and Back Again?" On the Influence of Software Community Dispersion Over Productivity.

Stefano Lambiase, Gemma Catolino, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Willem-Jan van den Heuvel, Filomena Ferrucci

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

Cognitive Cloud: The Definition.

Sergio Moreschini, Fabiano Pecorelli, Xiaozhou Li, Sonia Naz, Michele Albano, David Hästbacka, Davide Taibi

Proceedings of the Distributed Computing and Artificial Intelligence, 2022

2021

Adaptive selection of classifiers for bug prediction: A large-scale empirical analysis of its performances and a benchmark study.

Fabiano Pecorelli, Dario Di Nucci

Sci. Comput. Program., 2021

The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems.

Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia

Empir. Softw. Eng., 2021

Comparing within- and cross-project machine learning algorithms for code smell detection.

Manuel De Stefano, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia

Proceedings of the MaLTeSQuE@ESEC/SIGSOFT FSE 2021: Proceedings of the 5th International Workshop on Machine Learning Techniques for Software Quality Evolution, 2021

2020

A large empirical assessment of the role of data balancing in machine-learning-based code smell detection.

Fabiano Pecorelli, Dario Di Nucci, Coen De Roover, Andrea De Lucia

J. Syst. Softw., 2020

A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction.

Savanna Lujan, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia, Valentina Lenarduzzi

Proceedings of the 4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, 2020

Developer-Driven Code Smell Prioritization.

Fabiano Pecorelli, Fabio Palomba, Foutse Khomh, Andrea De Lucia

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

Testing of Mobile Applications in the Wild: A Large-Scale Empirical Study on Android Apps.

Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Just-In-Time Test Smell Detection and Refactoring: The DARTS Project.

Stefano Lambiase, Andrea Cupito, Fabiano Pecorelli, Andrea De Lucia, Fabio Palomba

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Refactoring Android-specific Energy Smells: A Plugin for Android Studio.

Emanuele Iannone, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Refactoring Recommendations Based on the Optimization of Socio-Technical Congruence.

Manuel De Stefano, Fabiano Pecorelli, Damian Andrew Tamburri, Fabio Palomba, Andrea De Lucia

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Splicing Community Patterns and Smells: A Preliminary Study.

Manuel De Stefano, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Andrea De Lucia

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

cASpER: A Plug-in for Automated Code Smell Detection and Refactoring.

Manuel De Stefano, Michele Simone Gambardella, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia

Proceedings of the AVI '20: International Conference on Advanced Visual Interfaces, Island of Ischia, Italy, September 28, 2020

VITRuM: A Plug-In for the Visualization of Test-Related Metrics.

Fabiano Pecorelli, Gianluca Di Lillo, Fabio Palomba, Andrea De Lucia

Proceedings of the AVI '20: International Conference on Advanced Visual Interfaces, Island of Ischia, Italy, September 28, 2020

2019

On the role of data balancing for machine learning-based code smell detection.

Fabiano Pecorelli, Dario Di Nucci, Coen De Roover, Andrea De Lucia

Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, 2019

Test-related factors and post-release defects: an empirical study.

Fabiano Pecorelli

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Comparing heuristic and machine learning approaches for metric-based code smell detection.

Fabiano Pecorelli, Fabio Palomba, Dario Di Nucci, Andrea De Lucia

Proceedings of the 27th International Conference on Program Comprehension, 2019