Fabiano Pecorelli

56 papers A 9B 4C 1Journal 30Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
AI Techniques in the Microservices Life-Cycle: a Systematic Mapping Study.
Computing
Sergio Moreschini, Shahrzad Pour, Ivan Lanese, Daniel Balouek, Justus Bogner, Xiaozhou Li, Fabiano Pecorelli, Jacopo Soldani, Eddy Truyen, Davide Taibi
2025 J jnl
Acceptance and Development of Quantum Computing in the Netherlands and Germany: Barriers and Remedies From a Multistakeholder Perspective.
IEEE Trans. Engineering Management
Julian Martens, Indika Kumara, Dario Di Nucci, Fabiano Pecorelli, Geert Monsieur, Damian Andrew Tamburri, Willem-Jan van den Heuvel
2025 J jnl
Preface for "Quantum Programming for Software Engineering (QP4SE)".
Sci. Comput. Program.
Fabiano Pecorelli, Vita Santa Barletta, Manuel A. Serrano
2025 J jnl
Sustainability of Machine Learning-Enabled Systems: The Machine Learning Practitioner's Perspective.
CoRR
Vincenzo De Martino, Stefano Lambiase, Fabiano Pecorelli, Willem-Jan van den Heuvel, Filomena Ferrucci, Fabio Palomba
2025 J jnl
Time series forecasting for bug resolution using machine learning and deep learning models.
Frontiers Big Data
Lerina Aversano, Martina Iammarino, Antonella Madau, Fabiano Pecorelli
2024 J jnl
A Large-Scale Empirical Investigation Into Cross-Project Flaky Test Prediction.
IEEE Access
Angelo Afeltra, Alfonso Cannavale, Fabiano Pecorelli, Valeria Pontillo, Fabio Palomba
2024 J jnl
An Empirical Investigation Into the Influence of Software Communities' Cultural and Geographical Dispersion on Productivity.
J. Syst. Softw.
Stefano Lambiase, Gemma Catolino, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Willem-Jan van den Heuvel, Filomena Ferrucci
2024 J jnl
Machine learning-based test smell detection.
Empir. Softw. Eng.
Valeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli, Dario Di Nucci, Filomena Ferrucci, Fabio Palomba
2024 — ch.
Quantum Software Engineering Issues and Challenges: Insights from Practitioners.
Quantum Software
Manuel De Stefano, Fabiano Pecorelli, Fabio Palomba, Davide Taibi, Dario Di Nucci, Andrea De Lucia
2024 J jnl
Reformulating Regression Test Suite Optimization using Quantum Annealing - an Empirical Study.
CoRR
Antonio Trovato, Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Andrea De Lucia
2024 J jnl
Reformulating regression test suite optimization using quantum annealing - an empirical study.
Int. J. Softw. Tools Technol. Transf.
Antonio Trovato, Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Andrea De Lucia
2024 J jnl
Technical debt in AI-enabled systems: On the prevalence, severity, impact, and management strategies for code and architecture.
J. Syst. Softw.
Gilberto Recupito, Fabiano Pecorelli, Gemma Catolino, Valentina Lenarduzzi, Davide Taibi, Dario Di Nucci, Fabio Palomba
2024 J jnl
The quantum frontier of software engineering: A systematic mapping study.
Inf. Softw. Technol.
Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
2024 J jnl
Toward granular search-based automatic unit test case generation.
Empir. Softw. Eng.
Fabiano Pecorelli, Giovanni Grano, Fabio Palomba, Harald C. Gall, Andrea De Lucia
2023 J jnl
A critical comparison on six static analysis tools: Detection, agreement, and precision.
J. Syst. Softw.
Valentina Lenarduzzi, Fabiano Pecorelli, Nyyti Saarimäki, Savanna Lujan, Fabio Palomba
2023 J jnl
AI Techniques in the Microservices Life-Cycle: A Survey.
CoRR
Sergio Moreschini, Shahrzad Pour, Ivan Lanese, Daniel Balouek-Thomert, Justus Bogner, Xiaozhou Li, Fabiano Pecorelli, Jacopo Soldani, Eddy Truyen, Davide Taibi
2023 — conf
Architecting MLOps in the Cloud: From Theory to Practice.
ICSA-C
Indika Kumara, Fabiano Pecorelli, Gemma Catolino, Rick Kazman, Damian Andrew Tamburri, Willem-Jan van den Heuvel
2023 J jnl
Introduction to the Software Quality for Artificial Intelligence (SQA4AI) special issue.
Sci. Comput. Program.
Michael Felderer, Valentina Lenarduzzi, Fabio Palomba, Fabiano Pecorelli
2023 — ed.
Proceedings of the 2nd International Workshop on Quantum Programming for Software Engineering, QP4SE 2023, San Francisco, CA, USA, 4 December 2023
QP4SE@SIGSOFT FSE
Vita Santa Barletta, Fabiano Pecorelli, Manuel A. Serrano
2023 — conf
Resolving Security Issues via Quality-Oriented Refactoring: A User Study.
TechDebt@ICSE
Domenico Gigante, Fabiano Pecorelli, Vita Santa Barletta, Andrea Janes, Valentina Lenarduzzi, Davide Taibi, Maria Teresa Baldassarre
2023 A conf
Technical Debt Diffuseness in the Apache Ecosystem: A Differentiated Replication.
SANER
Dario Amoroso d'Aragona, Fabiano Pecorelli, Maria Teresa Baldassarre, Davide Taibi, Valentina Lenarduzzi
2023 J jnl
The Quantum Frontier of Software Engineering: A Systematic Mapping Study.
CoRR
Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
2022 B conf
"There and Back Again?" On the Influence of Software Community Dispersion Over Productivity.
SEAA
Stefano Lambiase, Gemma Catolino, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Willem-Jan van den Heuvel, Filomena Ferrucci
2022 B conf
A Multivocal Literature Review of MLOps Tools and Features.
SEAA
Gilberto Recupito, Fabiano Pecorelli, Gemma Catolino, Sergio Moreschini, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri
2022 C conf
A preliminary evaluation on the relationship among architectural and test smells.
SCAM
Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Andrea De Lucia
2022 A conf
CATTO: Just-in-time Test Case Selection and Execution.
ICSME
Dario Amoroso d'Aragona, Fabiano Pecorelli, Simone Romano, Giuseppe Scanniello, Maria Teresa Baldassarre, Andrea Janes, Valentina Lenarduzzi
2022 J jnl
CATTO: Just-in-time Test Case Selection and Execution.
CoRR
Dario Amoroso d'Aragona, Fabiano Pecorelli, Simone Romano, Giuseppe Scanniello, Maria Teresa Baldassarre, Andrea Janes, Valentina Lenarduzzi
2022 J jnl
Cloud Continuum: The Definition.
IEEE Access
Sergio Moreschini, Fabiano Pecorelli, Xiaozhou Li, Sonia Naz, David Hästbacka, Davide Taibi
2022 — conf
Cognitive Cloud: The Definition.
DCAI (1)
Sergio Moreschini, Fabiano Pecorelli, Xiaozhou Li, Sonia Naz, Michele Albano, David Hästbacka, Davide Taibi
2022 J jnl
Impacts of software community patterns on process and product: An empirical study.
Sci. Comput. Program.
Manuel De Stefano, Emanuele Iannone, Fabiano Pecorelli, Damian Andrew Tamburri
2022 J jnl
Machine Learning-Based Test Smell Detection.
CoRR
Valeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli, Dario Di Nucci, Filomena Ferrucci, Fabio Palomba
2022 J jnl
OSSARA: Abandonment Risk Assessment for Embedded Open Source Components.
IEEE Softw.
Xiaozhou Li, Sergio Moreschini, Fabiano Pecorelli, Davide Taibi
2022 J jnl
On the adequacy of static analysis warnings with respect to code smell prediction.
Empir. Softw. Eng.
Fabiano Pecorelli, Savanna Lujan, Valentina Lenarduzzi, Fabio Palomba, Andrea De Lucia
2022 A conf
PANDORA: Continuous Mining Software Repository and Dataset Generation.
SANER
Hung Nguyen, Francesco Lomio, Fabiano Pecorelli, Valentina Lenarduzzi
2022 — conf
Predicting The Energy Consumption Level of Java Classes in Android Apps: An Exploratory Analysis.
MOBILESoft
Emanuele Iannone, Manuel De Stefano, Fabiano Pecorelli, Andrea De Lucia
2022 — ed.
Proceedings of the 1st International Workshop on Quantum Programming for Software Engineering, QP4SE 2022, Singapore, Singapore, 18 November 2022
QP4SE@ESEC/SIGSOFT FSE
Fabiano Pecorelli, Vita Santa Barletta, Manuel A. Serrano
2022 J jnl
Software Engineering for Quantum Programming: How Far Are We?
CoRR
Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
2022 J jnl
Software engineering for quantum programming: How far are we?
J. Syst. Softw.
Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
2022 J jnl
Software testing and Android applications: a large-scale empirical study.
Empir. Softw. Eng.
Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba
2022 J jnl
Toward Granular Automatic Unit Test Case Generation.
CoRR
Fabiano Pecorelli, Giovanni Grano, Fabio Palomba, Harald C. Gall, Andrea De Lucia
2021 J jnl
Adaptive selection of classifiers for bug prediction: A large-scale empirical analysis of its performances and a benchmark study.
Sci. Comput. Program.
Fabiano Pecorelli, Dario Di Nucci
2021 — conf
Comparing within- and cross-project machine learning algorithms for code smell detection.
MaLTeSQuE@ESEC/SIGSOFT FSE
Manuel De Stefano, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia
2021 J jnl
The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems.
Empir. Softw. Eng.
Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia
2020 J jnl
A large empirical assessment of the role of data balancing in machine-learning-based code smell detection.
J. Syst. Softw.
Fabiano Pecorelli, Dario Di Nucci, Coen De Roover, Andrea De Lucia
2020 — conf
A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction.
MaLTeSQuE@ESEC/SIGSOFT FSE
Savanna Lujan, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia, Valentina Lenarduzzi
2020 A conf
Developer-Driven Code Smell Prioritization.
MSR
Fabiano Pecorelli, Fabio Palomba, Foutse Khomh, Andrea De Lucia
2020 A conf
Just-In-Time Test Smell Detection and Refactoring: The DARTS Project.
ICPC
Stefano Lambiase, Andrea Cupito, Fabiano Pecorelli, Andrea De Lucia, Fabio Palomba
2020 A conf
Refactoring Android-specific Energy Smells: A Plugin for Android Studio.
ICPC
Emanuele Iannone, Fabiano Pecorelli, Dario Di Nucci, Fabio Palomba, Andrea De Lucia
2020 A conf
Refactoring Recommendations Based on the Optimization of Socio-Technical Congruence.
ICSME
Manuel De Stefano, Fabiano Pecorelli, Damian Andrew Tamburri, Fabio Palomba, Andrea De Lucia
2020 — conf
Splicing Community Patterns and Smells: A Preliminary Study.
ICSE (Workshops)
Manuel De Stefano, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Andrea De Lucia
2020 A conf
Testing of Mobile Applications in the Wild: A Large-Scale Empirical Study on Android Apps.
ICPC
Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba
2020 B conf
VITRuM: A Plug-In for the Visualization of Test-Related Metrics.
AVI
Fabiano Pecorelli, Gianluca Di Lillo, Fabio Palomba, Andrea De Lucia
2020 B conf
cASpER: A Plug-in for Automated Code Smell Detection and Refactoring.
AVI
Manuel De Stefano, Michele Simone Gambardella, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia
2019 A conf
Comparing heuristic and machine learning approaches for metric-based code smell detection.
ICPC
Fabiano Pecorelli, Fabio Palomba, Dario Di Nucci, Andrea De Lucia
2019 — conf
On the role of data balancing for machine learning-based code smell detection.
MaLTeSQuE@ESEC/SIGSOFT FSE
Fabiano Pecorelli, Dario Di Nucci, Coen De Roover, Andrea De Lucia
2019 — conf
Test-related factors and post-release defects: an empirical study.
ESEC/SIGSOFT FSE
Fabiano Pecorelli